Rebecca Fordon

Resources · Last checked November 6, 2026

Books and teaching resources on AI in legal practice

A reading list for people teaching AI in legal practice or legal education, including non-JD programs: textbooks, casebooks, study aids, open materials, and course sites, with tables of contents for most of the books. Pick a topic on the left to see which books have a chapter on it, or use the + beside another topic to find the books that cover both. Search covers titles, authors, descriptions, chapter titles, and topics, and each result says where the match was found. The filters narrow by how a title can be obtained and what kind of book it is. Titles marked Subscription are in the West Academic Study Aids package many law libraries license. Prices and dates are as of the last check.

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  • Artificial Intelligence Law

    Margot E. Kaminski, Paul Ohm, and Andrew D. Selbst · Foundation Press, forthcoming Nov. 12, 2026, 975 pp. · Casebook

    Doctrinal casebook built primarily on primary sources. Written at the JD level. Faculty can request draft proofs from the publisher ahead of publication. The contents listed here are from the Fall 2023 draft table of contents and may change in the published edition.

    Companion site

    Contents (24 chapters)
    1. Overview, Themes, and Vocabulary Part I, Preliminaries.
    2. Machine Learning 101: Good Old Fashioned AI
    3. Tort, Fault, Liability, and Product Safety: Who Is Liable When Self-Driving Cars Collide? Part II, How AI disrupts traditional legal concepts. Tort liability for users and owners; products liability for manufacturers.
    4. Competing Definitions of Algorithmic Bias and Fairness
    5. Bias and Discrimination: Algorithms in Employment Under Title VII
    6. Technological Due Process: Government Use of Algorithms in Benefits Administration
    7. Algorithmic Crime Prediction and Detection Individualized suspicion; the analogy to narcotics dog sniffs under the Fourth Amendment.
    8. Facial Recognition and the First Amendment
    9. Privacy and Big Data The power of inference; inferring identity and sensitive information; using data about some people to build models that control others.
    10. Generative AI Part III, AI in context. Technical primers on neural networks and large language models.
    11. Liability of LLM Creators for Speech Harms Defamation and other speech-related harms.
    12. Generative AI and Copyright Law AI and authorship; fair use and model training.
    13. Algorithms and Financial Regulation
    14. Medical Malpractice Standards of care and informed consent.
    15. Prompt Engineering
    16. Governance Strategies Part IV, Regulating AI. Pauses and bans; agenda setting and trustworthy AI; binary governance, managerialism, and neoliberalism.
    17. Consumer Protection and Data Protection Approaches The FTC; the GDPR; enforcing consumer protection, bias, and data protection laws.
    18. Risk-Based Regulation and Impact Assessments Risk regulation generally; the EU AI Act; risk assessment frameworks; algorithmic audits.
    19. The Right to a Human-in-the-Loop Laws requiring a human in the loop; justifications and efficacy.
    20. The Right to Explanation Licensure and justification.
    21. AI in China Chinese AI regulation, the social credit system, US export restrictions.
    22. AI and the International Law of Human Rights
    23. AGI, Alignment, and Safety Analogies to other existential threats.
    24. Coda

    Source: aila.ws

    Purchase
  • Artificial Intelligence and Technology in the Workplace

    John L. Litchfield, Mark J. Neuberger, and Michael F. Ryan · LexisNexis Matthew Bender, forthcoming Nov. 9, 2026 · Practitioner book

    Practice guide for employers and their counsel on developing, deploying, monitoring, and evaluating AI tools in employment, covering federal, state, and local rules and areas from hiring and wage-and-hour law to benefits, immigration, labor law, and litigation.

    Contents (15 chapters)
    1. Introduction to Artificial Intelligence and Technology in the Workplace
    2. Developing a Workplace Artificial Intelligence Policy
    3. State Survey of State and Local AI Laws, Rules, and Regulations
    4. Artificial Intelligence and Legal Ethics Guidance
    5. AI in Recruitment and Hiring
    6. AI In Wage and Hour Law
    7. Employer Secrets and AI
    8. Artificial Intelligence in U.S. Immigration Law
    9. Artificial Intelligence in Employee Benefits
    10. Artificial Intelligence and Traditional Labor Law
    11. Artificial Intelligence in Litigation
    12. AI and Employment Litigation
    13. Implementing AI in Discovery
    14. California Case Studies and Concerns
    15. Auditing Your HR Function for Compliance with AI Regulations

    Source: store.lexisnexis.com

    Purchase$299 print or ebook
  • AI for Litigators: Practical Tools to Transform Your Practice

    Alexandria Serra · Aspen Publishing (NITA), Sept. 22, 2026, 200 pp. · Practitioner book

    A practitioner guide for trial lawyers in the NITA series, from AI fundamentals and prompt engineering through custom GPTs, AI-generated evidence, advocacy training simulations, hallucination and sanctions risk, and firm operations.

    Contents (9 chapters)
    1. Introduction: Why AI Matters Now More Than Ever Impact on the legal industry, the lawyer pipeline, technological competence in advocacy and trial preparation.
    2. AI Fundamentals for Litigators AI and machine learning terminology, how LLM systems learn from users, data security, redaction and anonymizing, informed consent.
    3. AI as Co-Intelligence: Why AI Won't Replace Human Litigators Machine versus human tasks, the AGI question, the expert as filter, validator, evaluator, and supervisor roles.
    4. Prompt Engineering: The Litigator's New Essential Skill A recipe for strong prompts, defining use cases, prompting for demonstrative evidence, prompting for better prompts.
    5. Custom GPTs: Creating Secure AI Tools for Your Practice Custom GPTs versus agents, vibe coding, building and testing a closed-universe GPT, confidentiality.
    6. AI-Generated Evidence: Rules, Risks, and Courtroom Realities Deepfakes, avatars as witnesses and representatives, AI expert evidence, FRE 107, proposed FRE 707 and 901(c), state approaches, privilege and work product.
    7. Enhancing Advocacy Skills With AI Training Tools Simulated courtrooms, objections, examination practice, evidentiary foundations, mock voir dire and focus groups, legal digital twins.
    8. Confronting AI's Reputation Problem Hallucinations, sycophancy, bias, plagiarism, environmental and ghost-work concerns, fake citations and sanctions, disclosure, a firm AI policy and risk assessment.
    9. AI in the Business of Law: Applications Across Practice Choosing a tech stack, client intake, budgeting and profitability forecasting, HR and operations, change management.

    Source: assets.ctfassets.net

    Purchase$107 print and ebook or ebook; $59 print-on-demand companion
  • A Guide to Creating an Effective AI Corporate Compliance Program

    Carole Basri, Shlomit Yanisky-Ravid, and Alonzo Barber · Practising Law Institute, Sept. 8, 2026, 584 pp. · Treatise

    Treatise on building an AI compliance program on the Sentencing Guidelines' seven elements and DOJ's Evaluation of Corporate Compliance Programs, covering governance and board oversight, global regulation, data privacy, security, and intellectual property, with checklists and template documents.

    Contents (10 chapters)
    1. The Dawn of the Artificial Intelligence Era—Navigating the New Frontier of Corporate Compliance
    2. How Do Artificial Intelligence Systems Actually Work? With a glossary.
    3. Artificial Intelligence Systems: Historical Perspectives With a glossary.
    4. Creating an "Effective" Artificial Intelligence Compliance Program AI legal risk assessment, the Sentencing Guidelines' seven steps, the AI compliance officer, board oversight duties.
    5. Toolkit for Artificial Intelligence Risk Management and Compliance
    6. AI Regulation
    7. The Artificial Intelligence Data Lifecycle and Data Privacy
    8. AI Security
    9. AI and Intellectual Property
    10. The Future of Artificial Intelligence and Compliance

    Source: www.pli.edu

    Purchase$395 print or PLI PLUS one-year subscription
  • The AI-Ready Law Firm: How Lawyers Use Generative Tools to Work Smarter and Serve Clients Better

    Gregory H. Siskind, Jason Susser, and Josh Waddell · American Bar Association, Aug. 20, 2026, 364 pp. · Practitioner book

    A practical guide to generative AI in law practice, moving from prompt writing through research, drafting, litigation, client intake, and billing, and closing with a chapter on legal ethics.

    Contents (19 chapters)
    1. What Generative AI Is (and What It's Not)
    2. Prompt Writing 101 for Lawyers Elements of a good legal prompt, common prompting techniques, building a prompt library.
    3. Legal Research Reimagined RAG, hallucination mitigation, vendor due diligence, cross-jurisdictional research, AI research tools, cautions on public LLMs like ChatGPT and Claude.
    4. Drafting with AI The evolution of AI drafting, early LLM constraints, use cases and corresponding products, finding a vendor.
    5. Integrating AI with Case Management Systems AI inside case management, custom reporting, existing features, limitations.
    6. Fact Analysis and Case Strategy
    7. AI Tools for Litigators Early case assessment, motions, discovery and document review, deposition and cross-examination prep, trial prep and exhibits, litigation strategy.
    8. Summarization and Translation
    9. Client Communication and Education Explaining legal concepts, AI as a communication coach, client education materials.
    10. Marketing and Business Development Content at scale and in multiple languages, avatars, personal brand, social media, lead nurturing, AI replacing search for clients seeking legal help.
    11. Client Intake and Support CRM, smart intake, conflict checks and red-flag detection, intake KPIs.
    12. Billing, Timekeeping, and Administrative Automation Time-tracking tools, passive time tracking, administrative automation, legal operations over five years.
    13. Firm Knowledge Management and Internal Tools Internal GPTs and knowledge bases, document management integration, custom GPTs.
    14. Additional AI Use Cases and Examples for Your Law Practice RFPs, engagement letters, policies, firm procedures bot, training materials, proofreading, plain English, presentations, anonymization, notetaking, AI receptionists.
    15. AI Agents: Beyond the One-Off Prompt LLMs vs. workflows vs. agents, workflow tools, examples, how to build an agent.
    16. Legal Ethics in the Age of Generative AI Ethical frameworks, rule-by-rule analysis, privilege; appendix with a regulatory chart and sample engagement-letter disclosure language.
    17. Why Implementation Matters AI strategy, firm-wide use policy, training, change management, client transparency.
    18. The Future of AI and Legal Work Early adoption, AI as additive, honesty about weaknesses, evolving roles in the firm.
    19. Choosing the Right Tools for the Job General AI tools, general legal tools, practice-area-specific tools; appendices with an AI legal software directory and a comparison of AI notetakers.

    Source: www.americanbar.org

    Purchase$114; $103 ABA members; $91 section members
  • AI Competence and Law Practice for Law Students

    Daniel W. Linna Jr. · Practising Law Institute, Aug. 2026 · Online course

    Free twelve-module asynchronous course on AI competence for law students, produced by PLI with Northwestern Pritzker School of Law. Requires a PLI account.

    Launch announcement

    Free to read
  • The Future of Justice: AI, Big Data, the Environment and the Courts

    Sundaresh Menon and Anselmo Reyes, eds. · Hart Publishing, Aug. 2026 · Monograph

    Open-access edited volume, written largely by senior judges from Asia-Pacific and common-law courts, from the 4th Judicial Roundtable on the Future of Justice (April 2024). Its four parts cover AI in judiciaries, data protection and privacy, "truth decay" and fact-finding, and climate change litigation, asking how courts should respond.

    Contents (18 chapters)
    1. Introduction By Sundaresh Menon.
    2. Introduction to Artificial Intelligence Part I, Artificial Intelligence.
    3. Artificial Intelligence in the Administration of Justice
    4. Evidence Generated by Machine Learning: Opportunities and Problems
    5. The Chinese Practice of Empowering the Judiciary by Using Artificial Intelligence
    6. The Role of Artificial Intelligence in the Adjudication of Disputes
    7. Ethical Implications of the Use of Artificial Intelligence in Justice Systems By D Y Chandrachud, former Chief Justice of India.
    8. Generative Artificial Intelligence and the Legal Endeavour
    9. Introduction to Data Protection and Privacy Part II, Data Protection and Privacy.
    10. Data Protection and Privacy in the Big Data and Artificial Intelligence Era
    11. Processing Data in the Development and Deployment of Artificial Intelligence Systems
    12. Introduction to Truth Decay Part III, Truth Decay. Disinformation and misinformation.
    13. Ascertaining Facts in an Uncertain World: The Role of the Courts
    14. Truth Decay and its Implications for the Judiciary: An Australian Perspective
    15. Introduction to Climate Change Part IV, Climate Change.
    16. Climate Change and Legal Responsibility
    17. A Sentinel's Toil in Climate Action: Significance of the Judicial Role (with emphasis on the role of the Indian Supreme Court)
    18. Conclusion: Courts in an Interconnected Justice Ecosystem

    Source: api.crossref.org

    OpenCC BY-NC-ND 4.0 · Free ebook; £95 hardback
  • Superjustice: Law in the Age of Artificial Intelligence

    Samuel I. Becher and Benjamin Alarie · Oxford University Press, July 30, 2026, 256 pp. · Monograph

    Argues for an AI-driven redesign of legal systems. Diagnoses failures in current legal systems and maps implementation challenges across technical, human, governance, and societal domains.

    Contents (11 chapters)
    1. A Paradigm Shift Part I, The Foundations of Superjustice.
    2. Ten Pillars of Legal Dysfunctionality
    3. Toward Hybrid Legal Decentralization
    4. From Gridlock to Dynamism
    5. The New Code of Justice Part II, Implementation and Realization of Superjustice.
    6. Pervasive Justice
    7. Educating for Superjustice
    8. The Future of Justice Work Part III, Future Directions and Challenges.
    9. CRISPR-J in the Age of Superjustice
    10. Charting Superjustice
    11. Conclusion: Law for Human Flourishing

    Source: global.oup.com

    Purchase$40 hardcover
  • Artificial Intelligence and the Law: Global Perspectives, Regulatory Challenges, and Emerging Jurisprudence

    Simmi Virk, ed. · Routledge, July 24, 2026, 222 pp. · Monograph

    Edited volume of fifteen chapters on AI, law, ethics, and human rights, with most contributions focused on India and several comparing Indian law with the EU AI Act and the GDPR. Covers regulation, deepfakes, judicial use of LLMs, criminal liability, national security, intellectual property, and legal personhood.

    Contents (15 chapters)
    1. Artificial Intelligence and the Information Technology Act, 2000: A Critical Analysis of Legislative Gaps and Regulatory Challenges India's IT Act and its gaps for AI.
    2. The Artificial Intelligence in the EU – Legal Aspect
    3. Balancing Risk and Rights: India's Emerging Framework and the EU AI Act on Facial Recognition and Deepfake Technologies
    4. Exploring the Issues and Challenges of Deepfakes: A Doctrinal Study
    5. Balancing Innovation and Justice: Human Rights in the Age of Artificial Intelligence
    6. Impact of AI on Child Education: A Critical Analysis
    7. Towards Sustainable AI Governance: Legal Challenges and Opportunities for Environmental Protection in India
    8. Governing AI Ethically: Lessons from Europe's GDPR and India's Emerging Regulatory Landscape
    9. Algorithmic Governance and Constitutional Accountability: Rethinking AI Regulation in India
    10. The Role of LLMs in Judicial Decision-Making in India: Challenges, Regulatory Frameworks and Future Directions
    11. Artificial Intelligence, Autonomy, and Criminal Liability in India: Rethinking Accountability
    12. Role of artificial intelligence in national security
    13. The Role of Artificial Intelligence in Shaping Intellectual Property Rights: A Comprehensive Review
    14. Authorship in the Age of Artificial Intelligence: Navigating Copyright Challenges in AI-Generated Content
    15. Endowing AI with Legal Personhood: A Jurisprudential Odyssey Through Theory and Practice

    Source: www.routledge.com

    Purchase$54.99 paperback, $233.99 hardback, $54.99 ebook
  • Introduction to AI Law and Policy: Primary Legal and Policy Sources on AI Governance

    Margaret Hu · Aspen Publishing, July 2026, 384 pp. · Casebook

    Shorter primary-source volume on AI governance from the author of the full AI Law and Policy casebook.

    Contents (11 chapters)
    1. Introduction Title taken from the companion casebook; the first pages of the contents were not captured.
    2. Definitions Title taken from the companion casebook. AI systems and taxonomy, machine learning, natural language processing, data science, perception and robotics; narrow, predictive, generative, and theoretical AI; AI lifecycles.
    3. Conceptualizing AI Governance Hard and soft law, horizontal and vertical oversight, self-governance, multistakeholder governance; rights-based (Blueprint for an AI Bill of Rights) and risk-based (NIST AI RMF) frameworks; the EU AI Act as hybrid; Rodgers v. Christie; Colorado and California statutes.
    4. Algorithmic Discrimination and Disparate Impact Blueprint, NIST, EU AI Act and GDPR, Colorado AI Consumer Protection Act; State v. Loomis, ACLU v. Clearview AI, FTC v. Rite Aid; executive orders 14179 and 14110, the joint enforcement statement, federal procurement and contractor guidance.
    5. Transparency and Explanation EU AI Act and GDPR transparency, right to explanation, notice and disclosure; Deyerler v. HireVue, HireVue's explainability statement, the Facebook Papers, the proposed Algorithmic Accountability Act, FTC v. TransUnion Rental Screening.
    6. Data Privacy and Autonomy California constitution, Google Assistant litigation, UN and European human rights instruments, the PNR case; Snowden and Schrems, Klayman v. Obama, Cambridge Analytica, FTC settlements with Facebook.
    7. Personhood and Citizenship Citizens United, Lehrman v. LOVO, Thaler v. Vidal and USPTO inventorship guidance, Thaler v. Perlmutter and Copyright Office registration guidance, Sophia's Saudi citizenship, Moffatt v. Air Canada.
    8. Human Oversight and Generative AI EU AI Act human oversight, UNESCO ethical impact assessment, the intelligence community ethics framework, OMB memo, Microsoft Responsible AI Standard; regulating foundation models; California training data transparency; NIST generative AI profile; New York Times v. Microsoft and OpenAI.
    9. AI Ethics and Audits UNESCO recommendation, Mastercard principles; agency AI inventories and governance boards; ISACA and European Court of Auditors guidance, AI Security Institute evaluations; EU AI Act conformity assessment and market surveillance.
    10. Remedies and Preventive Measures Prohibited practices, the Somerville facial recognition ban, the Amazon Alexa order; impact assessments and testing; algorithmic disgorgement in Kurbo, punitive damages, injunctive relief.
    11. Humanity and Sustainability WGA and SAG-AFTRA strikes, workforce training acts, AI in education and research, GDPR research rules, the CHIPS Act; sustainability reporting, UN capacity-building resolution, environmental impacts.

    Source: aspenpublishing.com

    Purchase$121
  • The AI-Ready Lawyer: A Competency Framework for the AI Era

    Practising Law Institute Innovation Council and Professional Development Consortium · Practising Law Institute, May 5, 2026, 18 pp. · Article

    Competency framework for lawyers using AI, developed by PLI's Innovation Council and the Professional Development Consortium with Creative Lawyers. Sets out five pillars and 20 competencies at three proficiency levels, with guidance by practice setting and recommendations for each part of the profession.

    Announcement

    Contents (9 chapters)
    1. Introduction Why a shared AI competency model is needed (ABA Formal Opinion 512, Model Rule 1.1), how each audience can use the framework, the five pillars, and the three proficiency levels.
    2. Pillar 1: AI Fluency Foundational AI knowledge (LLMs, training data, context windows, RAG, agentic AI), prompting, tool awareness and selection, recognizing AI failure modes.
    3. Pillar 2: AI-Enhanced Legal Work AI-assisted research, drafting and review, discovery and due diligence, client communication, workflow integration and delegation.
    4. Pillar 3: Critical Oversight Verifying citations and analysis, preserving independent judgment against anchoring bias, supervising AI-assisted work.
    5. Pillar 4: Ethical AI Governance Confidentiality and data protection, client AI requirements in outside counsel guidelines, vendor data terms, regulatory compliance, disclosure of AI use, bias.
    6. Pillar 5: Professional Evolution Continuous learning and change leadership, building the strengths AI lacks, mentoring and sharing knowledge.
    7. Cross-Cutting Considerations Billing and economics, differences between practice settings, deskilling, speed of change, assessing AI competency.
    8. Implementation Guidance by Practice Setting Large firms, mid-size firms, solo and small firms, in-house departments, public interest and government.
    9. Stakeholder Recommendations: How Each Part of the Profession Can Act Actions for legal employers, law schools and educators, bar associations and regulators, in-house departments, courts, CLE providers, malpractice carriers, and individual lawyers.

    Source: cms.pli.edu

    Free to read
  • The Cambridge Handbook of AI and Technologies in Courts

    Monika Zalnieriute and Agne Limante, eds. · Cambridge University Press, May 2026 · Monograph

    Comparative handbook on how courts use AI and digital technologies, with more than seventy contributors from over twenty-five countries covering Europe, the Americas, Asia-Pacific, and Africa. Treats AI in courts as a question of judicial accountability and the rule of law.

    Contents (45 chapters)
    1. AI in Courtrooms Across the Globe
    2. AI and Courts: Challenges and Opportunities Part I, Courts and AI: Context and Normative Positions.
    3. The History and Developments of AI in Courts: A Legal Informatics Perspective
    4. Judging and Limits on Legal Automation
    5. Chief Justice Robots
    6. The Rule of AI and the Rule of Law
    7. Artificial Intelligence in the Judiciary: A Threat to the Rule of Law?
    8. Anticipatory Governance and AI in Courts
    9. The Internalisation and Externalisation of Judicial Functions in the Age of AI Part II, Courts and AI: Disciplinary Perspectives.
    10. AI Generated Evidence Used in European Criminal Courtrooms
    11. Courts and AI: An Administrative Law Perspective
    12. Criminal Courts and AI: On the Role and Use of Algorithms at Sentencing
    13. AI in Criminal Justice: Against the Trade Secret Privilege
    14. Public Perceptions of Judicial Use of AI: A Legal and Psychological Perspective
    15. AI and Judicial Transparency Part III, AI and Tech Challenges to Judicial Values.
    16. Judicial Independence: Impact of AI on Courts
    17. Judicial Impartiality: AI in Courts
    18. Procedural Fairness, AI and Courts
    19. AI and the Judicial Duty to State Reasons
    20. Balancing Legal Certainty and Judicial Discretion in AI-Assisted Adjudication
    21. AI and the Efficiency of Courts
    22. AI, Judicial Diversity, and Representativeness
    23. Judicial Competence and AI
    24. AI and Judicial Accountability
    25. AI and Courts: An International Human Rights Perspective Part IV, AI in Courts Across the Globe: Jurisdictional Perspectives. International and regional jurisdictions.
    26. AI at the European Court of Human Rights
    27. The Right to a Fair Trial & the 'AI-Equipped-Judges' of the Future
    28. EU AI Act and Courts
    29. AI Literacy and the Judiciary under the EU AI Act
    30. Generative AI and Courts in the UK: A Candle in a Hurricane Europe.
    31. AI and the Courts in Germany
    32. Digital Justice in Estonia
    33. AI in Courts in Eastern Europe: Lithuania & Poland
    34. AI and Courts in Central Europe: Croatia and Slovenia
    35. AI and Courts in Spain
    36. Courts and the Use of Technologies and Artificial Intelligence in Türkiye
    37. Generative AI and Courts in the United States The Americas.
    38. The Regulation of Judicial Use of Artificial Intelligence in Colombia from the Perspective of Legal Field Theory
    39. Courting AI: How Brazilian Courts are Using AI
    40. Application of Technologies and AI in the Nigerian Court System: Challenges and Prospects Other parts of the world.
    41. AI and India's Judicial System: Lessons from POCSO
    42. Algorithmic Justice: AI Sentencing Tools in Taiwan
    43. AI and Courts in Japan
    44. Courts and AI: A View from Australia and New Zealand
    45. The Future of Courts and AI

    Source: www.cambridge.org

    SubscriptionCambridge Core
  • The EU Artificial Intelligence Act: A Thematic Commentary

    Gianclaudio Malgieri, Gloria González Fuster, Alessandro Mantelero, and Gabriela Zanfir-Fortuna, eds. · Hart Publishing, May 2026 · Treatise

    Commentary on the EU AI Act, organized by theme, with chapters keyed to the Act's articles. It covers prohibited practices, high-risk systems, general-purpose AI models, sandboxes, governance, enforcement, and AI literacy, and closes with the Act's interplay with the GDPR, the DSA, the Product Liability Directive, the DMA, and the Data Act.

    Contents (38 chapters)
    1. Introduction to the Commentary
    2. The EU AI Act: The Objectives of the Law (Article 1) Part I, Key Issues.
    3. The Scope of the AI Act in Light of the EU's Digital Strategy (Article 2)
    4. Definitions in the AI Act – Main Actors and Key Concepts (Article 3) Providers, deployers, AI system, and other defined terms.
    5. The Risk Framework in the AI Act and the Role of the European Commission
    6. The Mixed Nature of the AI Act: Product Safety and Fundamental Rights Regulation
    7. The Prohibitions Related to Human Vulnerabilities and Manipulation (Articles 5(1)(a) and 5(1)(b)) Part II, Prohibited Practices.
    8. Social Scoring (Article 5(1)(c))
    9. Predictive Policing and Facial Recognition (Article 5(1)(d) and 5(1)(e))
    10. The Prohibition of Emotion Recognition Systems in Education and the Workplace (Article 5(1)(f))
    11. The Prohibitions Related to Biometric Surveillance and their Exceptions (Articles 5(1)(g), 5(1)(h), and 5(2) to 5(8)) Biometric categorization and real-time remote biometric identification by law enforcement.
    12. Classification of High-Risk AI Systems and Its Update (Articles 6, 7, 50, 71, Annex I and Annex III) Part III, High-Risk AI Systems.
    13. Obligations of Providers of High-Risk AI Systems (Articles 8, 9, 16, 20, 21, 22)
    14. Deployers – Key Obligations (Article 26)
    15. Conformity Assessment, Quality and Risk Management Systems (Articles 8, 9, 17, 42, 43, 46)
    16. The Fundamental Rights Impact Assessment (Article 27)
    17. Data and Data Governance (Article 10)
    18. Accountability and Transparency in the EU AI Act: The Procedural Foundations of the Risk-Based Model (Articles 11–13, 18–19, and 50) Technical documentation, record-keeping, logs, and transparency duties.
    19. Human Oversight (Article 14)
    20. Accuracy, Robustness and Cybersecurity (Article 15)
    21. Identification and Obligations of Importers, Distributors, and Responsibilities Along the AI Value Chain (Articles 23, 24, 25)
    22. Standards, Certificates, Registration (Articles 40, 41, 44–49) Harmonized standards, common specifications, CE marking, and the EU database.
    23. The Obligations of Providers of General-Purpose AI Models (Articles 53, 54 and 56) Part IV, General-Purpose AI Models. Includes the copyright policy and training-data summary duties.
    24. General Purpose AI Models with Systemic Risks – Classification and Specific Obligations (Articles 51, 52, 55)
    25. AI Regulatory Sandboxes and Testing in Real-World Conditions (Articles 57–61) Part V, Measures in Support of Innovation.
    26. SMEs and Derogation (Articles 62 and 63)
    27. EU-Level Governance (AI Office, AI Board, Advisory Forum, Scientific Panel) (Articles 64 to 69) Part VI, Governance.
    28. National Level Governance (National Competent Authorities) and Notification Procedures
    29. Implementing Articles 72 and 73 of the EU AI Act: Practical Insights and Recommendations for Post Market Monitoring and Reporting Serious Incidents Part VII, Monitoring and Enforcement.
    30. Enforcement (Articles 74–84 and 88–94)
    31. The Right to Explanation in the AI Act (Article 86)
    32. Remedies and Penalties (Articles 85, 87, 99–101)
    33. Codes of Conduct and EC Guidelines (Articles 56, 95–98) Part VIII, Codes of Conduct, Guidelines and AI Literacy.
    34. AI Literacy (Article 4)
    35. The AI Act and the GDPR Part IX, Interactions with the Digital Rulebook.
    36. The AI Act and the Digital Services Act: Legal Consistency and Normative Tensions
    37. The AI Act and the Product Liability Directive
    38. Divergent Paths, Subtle Crossroads: Disentangling the DMA and the DA from the AI Act The Digital Markets Act and the Data Act.

    Source: api.crossref.org

    Purchase£225 hardback, £202.50 ebook
  • Artificial Intelligence and the Practice of Law in a Nutshell

    Korin Munsterman · West Academic, Apr. 2026, 618 pp. · Study aid

    Survey of AI in legal practice. Covers sanctions cases beginning with Mata v. Avianca, ABA Formal Opinion 512 and state guidance, practice applications, the EU AI Act, bias, liability, deepfakes and evidence, and governance policies and vendor checklists in the appendices.

    Buy the print edition

    Contents (24 chapters)
    1. The Intersection of Artificial Intelligence and Legal Practice AI literacy as a professional competency, history of legal technology, cautionary tales and standing orders, the Model Rules (1.1, 1.4, 1.5, 1.6, 3.1, 3.4, 5.1, 5.3, 5.5), ABA resolutions and Formal Opinion 512.
    2. What Is Artificial Intelligence The Turing test, the Dartmouth Conference, AI winters and expert systems, machine learning, deep learning and neural networks, narrow, general, and superintelligent AI.
    3. Generative Artificial Intelligence How generative AI and LLMs work, prompting and advanced techniques, prompt libraries, CustomGPTs, hallucinations, RLHF, agentic AI and its limits, data retention and privacy strategies.
    4. Revolutionizing Legal Practice with AI AI legal research platforms and market leaders, predictive modeling and verdict prediction, document assembly, contract analysis and due diligence, eDiscovery, chatbots, online dispute resolution.
    5. Principles of Ethical AI for Legal Professionals AI alignment and its limits, regulatory models, accountability, validity and reliability, user trust, privacy, governance.
    6. Bias in Artificial Intelligence Systems Training data and other bias, equal protection and algorithmic discrimination, employment screening, credit, housing, veterans benefits, mitigation and monitoring.
    7. Liability in the Age of AI Tort liability, First Amendment, Section 230, causation, medical AI, contractual frameworks, insurance.
    8. Artificial Intelligence and the Courts Technology adoption in courts, efficiency and due process, generative AI in courts, judicial independence and competence, deepfakes and evidence authentication.
    9. AI and the Business of Law Practice AI investment, the billable hour and alternative fees, client acquisition and advertising, malpractice insurance, AI governance policy, vendor assessment checklist.
    10. Appendix A: AI Tool Evaluation Form
    11. Appendix B: Client Informed Consent Templates
    12. Appendix C: Verification Documentation Checklist
    13. Appendix D: AI Incident Report Form
    14. Appendix E: Practice Area-Specific Protocols
    15. Appendix F: Approved AI Tools List
    16. Appendix G: Glossary of AI Terms
    17. Appendix H: Quick Reference Guide to AI Use in Legal Practice
    18. Appendix I: Court AI Disclosure Requirements by Jurisdiction
    19. Appendix J: Training Curriculum and Resources
    20. Appendix K: Prompt Libraries, Uses and Examples for Lawyers
    21. Appendix L: CustomGPTs, Uses and Examples Guide
    22. Appendix M: Advanced Prompting Techniques for Lawyers
    23. Appendix N: Comparative Guide to Generative AI Platforms for Legal Practice
    24. Appendix O: A Comprehensive List of Legal Tech Using AI

    Source: subscription.westacademic.com

    SubscriptionWest Academic Study Aids · $65 print
  • AI Law and Policy: Selected Statutes, Regulations, and Other Materials

    Margaret Hu · Aspen Publishing, Feb. 2026, 980 pp. · Supplement

    Statutory and regulatory supplement. Collects federal AI legislation, the Colorado and California acts, executive orders, and EU and Chinese materials. Usable on its own without the casebook.

    Contents (11 chapters)
    1. Part I: Selected U.S. Federal Statutes and Executive Orders
    2. Part II: Selected U.S. State Statutes and Executive Orders
    3. Part III: European Union
    4. Part IV: China (PRC)
    5. Part V: Other Selected International Frameworks
    6. Appendix A: United States Constitution
    7. Appendix B: Blueprint for an AI Bill of Rights
    8. Appendix C: Artificial Intelligence Risk Management Framework (AI RMF 1.0)
    9. Appendix D: AI Risk Management Framework, Generative Artificial Intelligence Profile
    10. Appendix E: Biden Memoranda and Other Documents
    11. Appendix F: Trump Memoranda and Other Documents

    Source: aspenpublishing.com

    Purchase$60 ebook
  • The AI-Enabled Law Firm

    Lee Dittmar and Carole Stern Switzer · American Bar Association, Feb. 2026 · Practitioner book

    Governance frameworks, training, and ethics for adopting AI in a law firm.

    Contents (17 chapters)
    1. The AI Revolution in Legal Services Hype versus reality, key technologies, agentic AI, the competitive necessity of adoption.
    2. Using AI Tools in Your Legal Practice Document review, legal research and analytics, contract analysis, litigation analytics, knowledge management, operations.
    3. Practice-Specific AI Applications Litigation, transactional, regulatory counseling, other specialties.
    4. Managing Your Firm's Knowledge with AI Evolution of knowledge management, ethics and governance, a tiered framework, multimodal capture.
    5. Professional Responsibility and AI Foundational obligations, emerging challenges, frameworks for ethical governance.
    6. Managing Legal and Compliance Risks with AI Privacy and security, confidentiality, bias, regulatory compliance, malpractice, insurance, vendor due diligence.
    7. Creating Your AI Strategy Readiness assessment, use cases, business case, metrics, vendor selection, change management.
    8. AI Technology Selection and Implementation The technology landscape, an evaluation framework, testing, data foundations, governance, security.
    9. Training Your People on AI Required competencies, training programs, measuring effectiveness, ethics, client conversations, resistance to change.
    10. Creating AI Policies and Governance Policy components, quality control, model risk management, governance technology, international dimensions.
    11. Preparing Your Workforce for the AI Future Changing roles, skills, structure, career paths and compensation.
    12. Communicating with Clients About AI Disclosure requirements, pricing and value, expectations, client feedback.
    13. Using AI for Project Management and Budgeting Budget development and tracking, resource allocation, contractual frameworks.
    14. International AI Considerations Regional regulation, cross-jurisdiction governance, international client service, outside counsel.
    15. Next-Generation AI and Beyond Future capabilities, convergence with other technologies, professional transformation.
    16. Building a Future-Ready Organization Innovation ecosystems, competitive boundaries, sustainability, measuring ROI.
    17. Appendices Ten recommendations for law firms; ten for in-house counsel; twenty-five discussion questions.

    Source: www.americanbar.org

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  • A Lawyer's Guide to AI: Ten Essential Concepts

    Matthew T. Henshon · American Bar Association, Jan. 2026, 270 pp. · Practitioner book

    Ten concepts, one per chapter, that lawyers need in order to work with AI.

    Contents (10 chapters)
    1. What Is AI?
    2. Content Creation
    3. Fair Use
    4. Bias
    5. Privacy
    6. Ethics and Laws
    7. Employment
    8. AI That Moves: Drones and Self-Driving Cars
    9. China
    10. The Dark Side

    Source: www.americanbar.org

    Purchase$103.95–129.95
  • AI and the Law: A Problem-Based Approach

    Becka Rich · H2O open casebook, 2026 · Syllabus

    Problem-based open casebook organized around tool evaluation and compliance planning. Readings are tagged by audience, including a set marked for MLS students. The 2026 rebuild supersedes the 2024 edition.

    2024 edition

    Open
  • AI for Law and Finance

    Michael J. Bommarito II, Daniel Martin Katz, and Jillian Bommarito · Open textbook series, 2026 · Textbook

    Open textbook series. Book 1, Agentic AI in Law and Finance, covers agents as a concept, agent design, and governance, without exercises. Book 2, LLM Essentials, is forthcoming and covers language-model literacy. Chapters are released one at a time on GitHub and SSRN. The site also has free explainers and a glossary.

    Contents (10 chapters)
    1. LLM Primer and Mechanics Part I, Foundations. Tokens, sampling, embeddings, context windows, and failure modes for practitioners. In progress.
    2. Conversations and Reasoning Multi-turn state management, context strategies, and reasoning patterns such as chain-of-thought and ReAct. In progress.
    3. Structured Outputs and Tool Use JSON schemas, validation, function calling, RAG basics, and the evidence record. In progress.
    4. Multimodal Fundamentals Documents, images, tables, charts, and audio, with privacy for regulated domains. In progress.
    5. Prompt Design and Optimization Specifications, evaluation test sets, meta-prompting, threat modeling, and versioning. In progress.
    6. What Is an Agent? Part II, Agents and Agentic Systems. Seven decades of agency scholarship synthesized into evaluation frameworks. Published.
    7. How to Design an Agent Ten architectural questions: triggers, perception, memory, planning, and escalation. Published.
    8. How to Govern an Agent Risk calibration, compliance stacks, and accountability for regulated industries. Published.
    9. Knowledge Graph Foundations Part III, Knowledge Graphs and Semantic Web. RDF, RDFS/OWL, SKOS, SPARQL, SHACL, and JSON-LD with legal and financial examples. Planned.
    10. Knowledge Graph Operations with LLMs Ingestion pipelines, LLM-assisted curation, hybrid retrieval, and evaluation. Planned.

    Source: github.com

    OpenCC BY
  • An AI Policy Primer for Students

    Matthew Sag · 2026 · Textbook

    Web primer written for a law school course on the law and policy of AI. Part I covers what AI is, how large language models work, and developments since ChatGPT. Part II covers why regulate, benefits and harms, and how AI changes existing legal problems. No license stated.

    Contents (6 chapters)
    1. What Is AI? Definitions and History Part I, What AI Is and How We Got Here.
    2. How Large Language Models Work
    3. What Has Happened Since ChatGPT
    4. Benefits, Harms, and Uncertainty Part II, Why Regulate AI?
    5. How AI Changes Old Problems
    6. How to Think About Law and AI

    Source: matthewsag.com

    Free to read
  • Intellectual Property: Law and the Information Society, 2026 Supplement

    James Boyle and Jennifer Jenkins · Duke Center for the Study of the Public Domain, 2026 · Open casebook

    Supplement to the open IP casebook. Chapters on generative AI and copyright, fair use for model training, and patentability, built on primary sources.

    Full casebook

    Open
  • Artificial Intelligence and the Practice of Law: Mastering Generative and Agentic AI

    Michael D. Murray · Self-published, 2026 · Textbook

    Self-published text on generative and agentic AI in legal practice.

    Contents (9 chapters)
    1. Starting Your Relationship with Generative AI
    2. Where Did Generative AI Come From?
    3. Generative AI: How Does It Work?
    4. Generative AI Compared to Extractive Research Tools
    5. Interacting with Generative AI: Prompting, Priming, Context Engineering, and Role-Playing Techniques
    6. Getting to Ground Truth: GenAI Innovations and the Fight Against Hallucinations and Confabulations
    7. AI Agents in the Present and Future Practice of Law
    8. Developing Imagination and a Vision for AI in the Present and Future Practice of Law
    9. Generative and Agentic AI and the Rules of Ethics and Professional Responsibility

    Source: www.amazon.com

    Purchase$12–17
  • Trade Secrets and Artificial Intelligence

    Luc Desaunettes-Barbero · H2O open casebook, 2026 · Open casebook

    Open casebook on trade secret law and AI, with a European focus.

    Contents (2 chapters)
    1. Legal Framework
    2. Case Law

    Source: opencasebook.org

    Open
  • The Augmented Lawyer: AI and the Future of Legal Practice

    American Bar Association, 2026 · Practitioner book

    ABA title on AI and the future of legal practice.

    Contents (20 chapters)
    1. Introduction: The Augmented Lawyer
    2. The Ideal Lawyer Part I, The Architecture of Lawyering.
    3. The Modern Lawyer's Dilemma
    4. The Chipped Crucible: Law School
    5. Lawyers versus Machines
    6. What You Need to Know About AI Part II, A Field Guide to the Future of Legal Practice.
    7. How I Used AI to Transform My Legal Work
    8. AI in Law School: The Quiet Revolution
    9. Bias and the Black Box
    10. Redefine Legal Ethics for the AI Era
    11. A Note to Law Students: How to Approach AI
    12. How AI Can Democratize the Law Part III, Looking Ahead: Musings on AI.
    13. Can Nonlawyers (like Robots) Practice Law
    14. The Future Law Firm
    15. How Do Doctors Think About AI
    16. How Do We Regulate AI in the Legal System
    17. AI and the Future of Courts
    18. AI and the Environment: A Lawyer's Take
    19. Declaration of Principles for AI Use in the Legal Field
    20. Conclusion: A New Kind of Lawyer

    Source: www.americanbar.org

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  • Large Language Models for Lawyers

    Seth Chandler · University of Houston Law Center, 2026 · Syllabus

    Public course site and syllabus for a Fall 2026 hands-on course in using, evaluating, and building with AI systems. The schedule runs from prompting and context engineering through retrieval-augmented generation and hallucination control, agents and MCP, speech and coding, and data analysis, alongside a semester-long legal AI project.

    Syllabus

    Contents (12 chapters)
    1. Platforms and the Model Landscape General and legal AI markets; Claude; Gemini, NotebookLM, and Workspace; ChatGPT and Codex; skills, CustomGPTs, plugins.
    2. How the Models Work Transformer architecture, tokens, parameters, training, fine-tuning, RLHF, distillation.
    3. AI Regulation The regulatory landscape for AI systems.
    4. Prompt and Context Engineering The CORRECT framework, advanced prompting, context windows, system prompts, skills, gems, retrieval-augmented generation.
    5. Reliability and Professional Responsibility Hallucination control, confidentiality under Rule 1.6, disclosure obligations.
    6. Extending the Models MCP servers, connectors, skills, plugins, workflows, speech models, coding, website construction, data formats.
    7. Data and Self-Education Ethical scraping, structured data and outputs, data analysis, AI-assisted self-education.
    8. Agents and Autonomy Harness engineering, scheduled tasks, agentic browsing, computer use.
    9. Markets, Costs, and Design Frontier models, the cost of AI, AI law firms, design and visualization with AI.
    10. Media and Editing Video generation and AI-assisted editing.
    11. Legal Research Platforms Midpage, Descrybe, Consensus, research agents, Westlaw AI, Lexis AI, Harvey, Claude for Legal.
    12. Frontiers and the Profession Foreign and comparative law, local models, judicial use, ADR, simulators, the profession.

    Source: llms4l.netlify.app

    Free to read
  • Determann's Field Guide to Artificial Intelligence Law: International Corporate Compliance

    Lothar Determann · Edward Elgar, 2026, 240 pp. · Practitioner book

    Practical guide to AI compliance for organizations, second edition. Covers jurisdiction-specific legal requirements, governance and accountability, and identifying and prioritizing risks, with checklists, contract clauses, and sample protocols. Covers predictive, generative, and agentic AI.

    Contents (8 chapters)
    1. Artificial Intelligence Law Overview of AI law across jurisdictions, following orientation and key-terms sections.
    2. Starting an AI Law Compliance Program
    3. Drafting Documentation
    4. Assessing Impacts and Mitigating Risks
    5. AI Agreements Contract clauses for AI procurement and use.
    6. Protocols
    7. Maintaining and Auditing Compliance
    8. Checklist: AI Law Compliance
    Purchase$85 paperback
  • A Short & Happy Guide to AI Governance and Regulation

    Kashyap Kompella and James M. Cooper · West Academic, Nov. 14, 2025 · Study aid

    Short plain-language guide to AI governance and regulation, a companion to the same authors' guide to AI for lawyers.

    Buy the print edition

    Contents (11 chapters)
    1. AI Governance and Regulation in 30 Minutes or It's Free Ten harmful AI avatars from infringer to terminator; what governance and regulation are and the many forms regulation takes; where lawyers fit.
    2. AI Regulation: Concepts and Debates Privacy and data governance, fair use and scraping, open-source risk, industrial policy, Section 230, environmental impact, foundation models, antitrust, data sovereignty, national security; theories of regulation and regulatory capture.
    3. AI Ethics Transparency, fairness, oversight, expert committees, proxy factors, reliability; responsible AI standards from IBM, Microsoft, Google, OpenAI, Meta, Anthropic, Apple, Walmart, Adobe, NVIDIA, Midjourney; lobbyists.
    4. International Bodies and Agencies OECD, World Economic Forum, GPAI, IEEE, UNESCO, the G7 Hiroshima process, treaties; Council of Europe, EU, African Union, OAS; a new international agency; national AI safety institutes.
    5. AI Regulation in the United States Statutes already on the books, the case for smart legislation, the second Trump administration.
    6. AI Regulation in the European Union History, the EU AI Act, implications for criminal and civil matters, employment, intellectual property.
    7. AI Regulation in the People's Republic of China The Cybersecurity Law, Beijing Principles, Data Security Law, deep synthesis rules, ethical review, risk assessment, algorithm registry, worker protections, global influence.
    8. National AI Regulation Around the Globe Country profiles including Australia, Brazil, Chile, France, Germany, India, Israel, Japan, Saudi Arabia, Singapore, South Korea, the UAE, and the UK; geopolitical ramifications.
    9. The Wise Counsel of Bar Associations ABA Formal Opinion 512 and Model Rules 1.1, 1.6, 1.4, 5.1, 5.3, 3.1, 3.3, 8.4, and 1.5; state bars including California, Florida, Illinois, New York, Pennsylvania, Texas, and DC; bar guidance abroad.
    10. A Call to Action A comparative approach to regulation; the AIM-AI governance framework with its four zones.
    11. Appendix B: The AIM-AI Governance Framework SAFE-AI, FAULT-AI, ABUSE-AI, and REBEL-AI zones and policy implementation.

    Source: www.vitalsource.com

    SubscriptionWest Academic Study Aids · $30 print
  • AI Law and Policy

    Margaret Hu · Aspen Publishing, July 29, 2025, 1110 pp. · Casebook

    Primary-source casebook surveying AI across privacy, cybersecurity, antidiscrimination, torts, intellectual property, and antitrust.

    Contents (28 chapters)
    1. Introduction
    2. Definitions AI definitions in federal and state law, OECD and EU AI Act; components and terms; fields such as machine learning and NLP; narrow, generative, and general AI; AI lifecycles.
    3. Conceptualizing AI Governance Hard and soft law, horizontal and vertical oversight, risk-based and rights-based models, governance through statutory reform.
    4. Algorithmic Discrimination and Disparate Impact Algorithmic bias harms, case studies in algorithmic bias, federal responses.
    5. Transparency and Explanation Notice and disclosure, explanation, black-box accountability.
    6. Data Privacy and Autonomy Informational privacy, self-determination and autonomy.
    7. Personhood and Citizenship AI and personhood, human personhood as a legal requirement, androids and citizenship, virtual assistants.
    8. Human Oversight and Generative AI Human oversight, challenges of overseeing generative AI, evolving liabilities.
    9. Selected European Union (EU) Frameworks The EU AI Act and related EU laws.
    10. Selected International Frameworks China, other international AI developments, international cooperation.
    11. U.S. Federal and State Law Developments Federal and state and local law developments.
    12. Overlapping Legal Regimes: International and Domestic, Public and Private Platform regulation and internet law in the U.S., TikTok ban efforts as a case study.
    13. Expressive Freedoms First Amendment challenges by platforms and AI companies, filtering and content moderation.
    14. Elections and Deepfakes Cognitive security, regulating deepfakes, AI robocalls.
    15. Due Process and Equal Protection Substantive due process and information privacy, procedural due process, equal protection.
    16. Criminal Procedure Criminal procedure challenges, AI-enhanced evidence in criminal proceedings.
    17. Worker Protections in Equal Employment and Disability Laws Antidiscrimination and disability law in employment.
    18. Consumer and Financial Protections Consumer protection, protections for children and minors.
    19. Overview of AI Product Liability and Negligence: Examining the Intersection of Tort and Contract Law Torts and product liability, contract liability, medical liability.
    20. Privacy Torts and Defamation Privacy torts, defamation.
    21. Data Protection, Cybersecurity, and Web Scraping Data protection, cybersecurity and data breaches, web scraping.
    22. Intellectual Property Patentability of AI, copyright and trademark infringement, trade secrets, USPTO guidance.
    23. Securities and Antitrust Conflicts of interest, SEC enforcement, FTC antitrust enforcement, the EU Digital Markets Act.
    24. Impact on Legal Practice and Legal Systems AI in the legal profession and courts, sanctions, AI in judicial decisionmaking and lawmaking.
    25. AI Ethics and Audits Ethical frameworks, AI inventories and governance boards, auditing, assessments and monitoring.
    26. Remedies and Preventive Measures Preventive measures, pretesting and impact assessments, ex ante and ex post remedies.
    27. National Security Military and intelligence AI, cyberattacks and geopolitical conflict, nuclear threats.
    28. Humanity and Sustainability Labor strikes, workforce training, education and research, sustainability and the environment.

    Source: assets.ctfassets.net

    Purchase$303
  • Artificial Intelligence Law and Regulation in a Nutshell

    Jon M. Garon · West Academic, May 2025 · Study aid

    Survey of AI regulation. Includes chapters on organizational strategy that distinguish developer and deployer obligations.

    Buy the print edition

    Contents (9 chapters)
    1. Introduction to Artificial Intelligence Machine learning, neural networks, deep learning, generative AI; illustrative uses in healthcare, product design, autonomous vehicles, chatbots and agents, law firms.
    2. Societal Concerns About the Implementation of AI Risk framework, labor and workforce disruption, the digital divide, the Rite Aid case, algorithmic discrimination, psychographic targeting, misinformation and elections.
    3. The Evolving Legal Framework Federal executive orders, state approaches including deepfakes, publicity rights, bias mitigation, and biometrics; the EU AI Act, GDPR, DMA, and DSA; China, the UK, Canada.
    4. The Relation of Intellectual Property to Generative AI Patent inventorship and prior art; copyright authorship, training-set liability, and substantially similar output; publicity rights, trade secrets, trademark, enforcement.
    5. Tort-Based Liability for AI Development and Deployment Defamation from AI output and Section 230; informational privacy; health information; products liability; use in legal briefs and law firm operations.
    6. Transactional Considerations for AI Development and Deployment The NIST AI Risk Management Framework, deployer risk, and contract terms on territory, ownership, liability, and personal data.
    7. The Use of AI in Law Enforcement and National Security Predictive policing and racial disparities; constitutional limits from Olmstead to Katz, the third-party doctrine, data surveillance.
    8. AI in Armed Conflict Signals intelligence, lethal autonomous weapons systems, humans in the loop.
    9. Conclusion: Considerations for the Law and Regulation of Artificial Intelligence Framing rather than defining AI, sources of regulation, transparency and explainability, consumer protections, business adoption, existential considerations.

    Source: www.vitalsource.com

    SubscriptionWest Academic Study Aids · $65 print
  • Hot Topics in Digital Tech

    Christopher Bavitz · H2O open casebook, 2025 · Syllabus

    Readings for a 1L reading group on current digital technology issues, Fall 2025. An earlier version, Regulating Digital Technology, ran in Fall 2020.

    Regulating Digital Technology (2020)

    Open
  • Think Like a Lawyer about Artificial Intelligence

    Theodore F. Claypoole · American Bar Association, 2025 · Practitioner book

    Groups AI systems by what they do and works through the legal impact of each category.

    Contents (12 chapters)
    1. What Is Artificial Intelligence?
    2. Why Would Lawyers Need to Think Differently about AI?
    3. Lawyers Should Think of AI in Functional Categories
    4. Decision-Making AI
    5. Generative AI
    6. Personal Identification AI
    7. Strategizing AI: AI Analytics and Safety
    8. Physical Action AI
    9. Military AI
    10. Should AI Receive Legal Rights?
    11. Developing Policy for Novel AI Problems
    12. Final Note: Lawyers Can Use Generative AI in Compliance with Their Professional Rules

    Source: www.americanbar.org

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  • PLI Course Handbooks on AI

    Practising Law Institute, 2025 · Practitioner book

    Course handbooks accompanying PLI programs, including Artificial Intelligence Law 2026, Artificial Intelligence and Law Practice 2025, and Artificial Intelligence and Privacy 2025. Heavy on primary sources and program materials.

    SubscriptionPLI Plus
  • Arkfeld on Artificial Intelligence and the Practice of Law

    Michael R. Arkfeld · LexisNexis, 2025 · Treatise

    Practitioner treatise on AI in legal practice, available on Lexis+.

    Open in Lexis+ (subscription)

    Contents (9 chapters)
    1. AI in Legal Practice: An Introduction
    2. Artificial Intelligence (AI), Components, Generative AI, and General AI
    3. Impact of AI on Ethics, Competency, and Confidentiality
    4. AI Applications Transforming Law Firms and Legal Organizations
    5. Integrating AI into Discovery and Litigation in Civil Cases
    6. Adequacy Determination, Validation, and Certification of Searches
    7. AI for Litigation and the Courtroom
    8. Planning for eDiscovery and Artificial Intelligence (AI)
    9. Summary and Conclusion: Embracing the AI Revolution in Legal Practice and Its Future

    Source: store.lexisnexis.com

    SubscriptionLexis+
  • A Short & Happy Guide to Artificial Intelligence for Lawyers

    James M. Cooper and Kashyap Kompella · West Academic, Nov. 2024 · Study aid

    Short plain-language introduction to AI for lawyers. Predates agentic tools.

    Buy the print edition

    Contents (11 chapters)
    1. Artificial Intelligence in 30 Minutes or It Is Free Seeing like an algorithm; AI and legal practice.
    2. Key Concepts of Artificial Intelligence and Its Use in Legal Practice Origins, popular culture, legal definitions; algorithms, automated decision-making, disparate impact and treatment, bias, predictive policing, risk assessments, transparency, human in the loop, legal analytics, legal tech.
    3. Artificial Intelligence and Criminal Law Pre-trial, post-trial, and probation uses; predictive policing; gunshot detection; benefits and challenges; State v. Loomis; smart regulation.
    4. Artificial Intelligence and Commercial Law Insurance, consumer finance, banking, mergers and acquisitions, antitrust, securities, contracts, arbitration, corporate governance, international trade.
    5. Artificial Intelligence and Intellectual Property Law Machine inventorship and patents; copyright, trademarks, and trade secrets; generative AI and copyright.
    6. Artificial Intelligence and Employment Law AI in employment decisions, algorithmic wage discrimination, OSHA and workplace robots, job losses across blue-collar, white-collar, and legal work.
    7. Artificial Intelligence and Consumer Law Tort law, healthcare, facial recognition and the Rite Aid FTC action, voice recognition.
    8. The Ethics and Regulation of Artificial Intelligence Responsible AI principles from technology companies, law firms, and bar associations; regulation in the EU, US, and China; geopolitics.
    9. A Call to Action Legal education, litigation as guidance, upskilling judges and legislators, access to justice.
    10. Appendix 1: Glossary and Legal Technology Applications
    11. Appendix 2: Artificial Intelligence as per Hollywood Fifteen films from 2001: A Space Odyssey to The Creator.

    Source: www.vitalsource.com

    SubscriptionWest Academic Study Aids · $30 print
  • AI and Law: Unleashing and Restraining AI

    Kevin Frazier · H2O open casebook, 2024 · Open casebook

    Open casebook covering consumer protection, competition, and corporate law questions raised by AI.

    Contents (6 chapters)
    1. Introduction to AI
    2. Introduction to AI Tools and AI Agents
    3. Consumer Protection Privacy; state UDAAP statutes; the FTC, SEC, and CFPB.
    4. Competition AI and the supply chain; mergers, acquisitions, and partnerships; accelerating innovation; an enforcement survey.
    5. Content Moderation The basics, content moderation in practice, elections.
    6. Corporate Governance

    Source: opencasebook.org

    Open
  • Case Studies in Public & Private Policy Challenges of Artificial Intelligence

    Jonathan Zittrain · H2O open casebook, 2024 · Syllabus

    Case-study collection on policy challenges of AI in public and private settings.

    Open
  • Artificial Intelligence and Academic Integrity

    April G. Dawson · Aspen Publishing, Aug. 2023, 88 pp. · Textbook

    Student-facing coursebook on responsible AI use and academic integrity.

    Contents (4 chapters)
    1. Introduction to Artificial Intelligence Rule-based systems and expert systems; machine learning, deep learning, natural language processing; large language models from OpenAI, Google, and Meta; ethical and responsible AI.
    2. Fundamentals of Academic Integrity Why integrity matters; academic integrity and the ethics of the legal profession; types and causes of academic dishonesty; academic, professional, and personal consequences; Mata v. Avianca and the North Carolina election fraud hearing as case studies.
    3. Best Practices for Maintaining Academic Integrity in the Age of AI Whether to use or ban generative AI; institutional rules; privacy implications of ChatGPT; appropriate uses for terminology, complex topics, exams, research and writing; false information and hallucinations; courts requiring certification of cited cases.
    4. Use of Generative AI in the Legal Profession Leading legal generative AI products including CoCounsel, Lexis+ AI, Harvey, Spellbook; the profession's cautious response; access to justice.

    Source: aspenpublishing.com

    Purchase$35
  • AI For Lawyers: How Artificial Intelligence is Adding Value, Amplifying Expertise, and Transforming Careers

    Noah Waisberg and Alexander Hudek · Wiley, 2021 · Practitioner bookPre-generative AI

    Practitioner overview of AI in legal work by the founders of Kira Systems. Predates generative AI.

    Contents (13 chapters)
    1. How Lawyers Learned to Stop Worrying and Love AI Part I, The Point: AI in law is here to stay.
    2. #DoMoreLaw: How Doing Work More Efficiently Can Create More Legal Work, Not Less
    3. The Small Law Mindset: Bringing Biglaw Capabilities to Smaller Firms
    4. AI: A Modern Job Creator: The New Legal Mindsets, Skill Sets, and Jobs That Are in Demand
    5. Amplifying Legal Expertise: From One-to-One Advisory to Scalable, One-to-Many Service Delivery
    6. The Ethics of Lawyers Using, and Not Using, AI
    7. eDiscovery: What It Is and How AI Is Continuing to Transform How It Works for You Part II, The Proof. By Dera Nevin.
    8. AI in Legal Research: How AI Is Providing Everyone Access to Information and Leveling the Playing Field By Jake Heller, Laura Safdie, and Pablo Arredondo of Casetext.
    9. Litigation Analytics: The Emergence of Analytics in Law and Why It's Now Dangerous to Practice Litigation Without Data By Anthony Niblett of Blue J Legal.
    10. Contract Review to Contract Capital: How Ubiquitous Access to Contract Analysis Software Will Transform Legal and Business Practices
    11. Expert Systems: Self-Service Law and the Automation of Legal Question-Answering By Michael Mills of Neota Logic.
    12. The AI Adoption Framework: Understanding the Adoption Path That Will Help You Get Ahead and Build the Practice of the Future Part III, The Plan.
    13. Conclusion

    Source: www.wiley.com

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  • Advanced Introduction to Law and Artificial Intelligence

    Woodrow Barfield and Ugo Pagallo · Edward Elgar, 2020 · MonographPre-generative AI

    Short scholarly introduction to law and AI. No second edition as of August 2026.

    Contents (12 chapters)
    1. Introduction to Law and Artificial Intelligence
    2. Definitions, Actors, Concepts
    3. Human Rights Considerations
    4. Constitutional Law Issues
    5. Legal Personality and Artificial Intelligence
    6. Issues of Data Protection
    7. Tort Law Approaches
    8. Criminal Law
    9. Copyright Law
    10. Patent Law
    11. Business Law, Antitrust, and Trade Secrets
    12. Looking Ahead: Towards a Law of Artificial Intelligence

    Source: www.e-elgar.com

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  • CEIPI Advanced Training on Artificial Intelligence and Intellectual Property, 2nd ed. (2019 syllabus)

    CEIPI, University of Strasbourg · H2O open casebook, 2019 · Open casebookPre-generative AI

    Syllabus and readings from a European training program on AI and intellectual property.

    Open
  • Data-Driven Law: Data Analytics and the New Legal Services

    Edward J. Walters, ed. · Routledge, 2019 · Practitioner bookPre-generative AI

    Edited volume on data analytics in legal services.

    Contents (8 chapters)
    1. Introduction: Data Analytics for Law Firms: Using Data for Smarter Legal Services
    2. Mining Legal Data: Collecting and Analyzing 21st Century Gold
    3. Deconstructing Contracts: Analytics and Contract Standards
    4. The Big Move Toward Big Data in Employment
    5. Computational Law, Symbolic Discourse, and the AI Constitution
    6. Quantifying Success: Using Data Science to Measure the Accuracy of Technology-Assisted Review in Electronic Discovery
    7. Quantifying the Quality of Legal Services: Data Science Lessons
    8. Uncovering Big Bias with Big Data: An Introduction to Linear Regression

    Source: www.routledge.com

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  • The Ethics and Governance of Artificial Intelligence

    Jonathan Zittrain and Joi Ito · H2O open casebook, 2018 · SyllabusPre-generative AI

    Readings from the 2018 Harvard and MIT course on AI ethics and governance. Predates generative AI.

    Open
  • Artificial Intelligence: Law and Litigation

    LexisNexis · Treatise

    Practitioner treatise on AI-related litigation organized by cause of action, with cases collected by industry sector in each chapter. Available on Lexis+.

    Contents (15 chapters)
    1. What Is “Artificial Intelligence”? Human and artificial neural networks.
    2. Antitrust Dual-sided markets, mergers, standard setting, cases by industry sector.
    3. Communications Decency Act Whether Section 230 applies to AI defendants.
    4. Contracts
    5. Copyright Copyrightable AI data under Section 102, fair use under Section 107, experts, Feist.
    6. Employment Non-compete and non-disclosure agreements, fiduciary duty.
    7. Immigration
    8. Patent Litigation Patentable subject matter, claim construction, written description and enablement, the Federal Circuit.
    9. Privacy Fourth Amendment, Illinois BIPA, California Invasion of Privacy Act, Washington, federal litigation.
    10. Products Liability Whether AI is a product or a service; automotive AI.
    11. Section 1983
    12. Securities SEC actions against AI defendants.
    13. Trade Secrets
    14. Trademark The Lanham Act and likelihood of confusion.
    15. Emotional Intelligence Whether DABUS is an inventor; human emotions in AI litigation.

    Source: store.lexisnexis.com

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