Books and teaching resources on AI in legal practice

• Artificial Intelligence and Legal Reasoning

  April G. Dawson and Daniel W. Linna Jr. · Aspen Publishing, forthcoming Oct. 22, 2026, 1000 pp. · Textbook

  Skills-oriented textbook on using AI in legal work. Covers large language models, machine learning, and expert systems across research, drafting, counseling, and adjudication, with ethics integrated throughout.

  Purchase$126
• 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
• 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
• Introduction to AI Law and Policy: Primary Legal and Policy Sources on AI Governance

  Margaret Hu · Aspen Publishing, July 2026 · 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
• GenAI in Legal Education: A Practical Guide for Professors and Students

  Korin Munsterman · CALI eLangdell, May 2026, 524 pp. · Textbook

  Guide to generative AI in law school teaching and learning. Covers platform selection, prompting techniques, evidence on when AI helps or hurts learning, course policies, assignment design, detection, and permitted and prohibited student uses. Addressed to faculty and students.

  Contents (16 chapters)

  1. Why This Book, Why Now: The GenAI Revolution in Legal Education Students already use GenAI; why instructor-led use beats solo use; evidence-based integration; preliminary data on bar passage.
  2. A Primer on LLMs How large language models work, training data, RLHF and RLAIF, context windows, tokens and parameters, hallucinations, deception, bias, alignment, system prompts, skills.
  3. Choosing Your Platform: What Faculty Members Need to Know Cost, privacy and training-data use, terms of service; strengths and weaknesses of ChatGPT, Claude, Gemini, Copilot, Perplexity, and Poe; task-based recommendations; CustomGPTs, Claude Projects and Skills, Gemini Gems, NotebookLM.
  4. The Art and Science of Effective Prompting The AI fluency framework, the CORRECT framework, basic principles, fifteen advanced techniques including chain-of-thought, few-shot, Socratic, and retrieval-augmented prompting, common mistakes, teaching students to prompt.
  5. Guardrails and Gatekeeping: Governing AI in the Law Classroom Cheating and the Model Rules; GenAI-prohibited, resistant, transparent, and integrated policies; why detection fails; GenAI-resistant and GenAI-transparent assignments including the hallucination hunt.
  6. The Data on Human-GenAI Learning Evidence that AI tutoring improves learning and engagement; the crutch effect, dependency, and metacognitive laziness; equity; six evidence-based principles.
  7. Course Design and Teaching Logistics Course proposals and syllabi, a Canvas bot, assessment development, using GenAI for grading and feedback, practicing the Socratic method.
  8. Designing Assignments in the Age of GenAI GenAI-prohibited, resistant, integrated, and transparent assignments; workable disclosure requirements; a decision framework.
  9. Assessments That GenAI Can't Take for Them Team-based learning, oral assessments, portfolio assessment, process-based grading, collaborative assessment, making the switch.
  10. Creating Custom AI Assistants for Legal Education CustomGPTs and agents, types of assistants, platform selection, a fifteen-step build guide, ethical guardrails.
  11. The Other Two-Thirds: GenAI for Service, Scholarship, and Administration Committee work, advising, research and writing support, publication management, institutional documentation, when to delegate.
  12. GenAI Policies for Scholarship, Tenure & Promotion Copyright, plagiarism, scholarly integrity, disclosure, scholarship policies; tenure and promotion; academic freedom.
  13. For Students: How to Learn Law with GenAI Why law school learning is different; green-, yellow-, and red-light uses; the CORRECT framework for students; sample workflows.
  14. For Students: From Academic Integrity to Professional Responsibility Parallels between academic and professional obligations including Rule 11; scenarios; accommodating learning differences; preparing for practice.
  15. Dealing with Uncertainty Known and unknown unknowns; autonomous agents; the integration of legal AI into legal systems.
  16. The Path Forward First principles, the professional responsibility through-line, rigor while embracing change, the academic integrity ecosystem.

  Source: www.cali.org

  OpenCC BY-NC-SA 3.0
• Using Generative AI for Legal Research

  Amy E. Sloan · Aspen Publishing, May 2026 · Supplement

  Short supplement for introducing generative AI into a legal research course, third edition. Covers the advantages and limits of AI for research, tasks it suits and does not, prompting, and citing AI-generated material. Follows the chapters of the author's Basic Legal Research and can also be used on its own.

  Contents (6 chapters)

  1. Introduction Forms of AI and how they fit into a research process.
  2. Advantages and Challenges of Legal Research with AI Tools Tasks AI is and is not useful for; research pitfalls.
  3. Crafting Effective AI Prompts
  4. Citing and Acknowledging Use of AI
  5. Research Examples Using AI Worked examples, including evaluating AI research results.
  6. Checklist for Research with AI Tools
  Purchase$17 ebook; $23 print and ebook
• 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
• 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
  2. What Is Artificial Intelligence
  3. Generative Artificial Intelligence
  4. Revolutionizing Legal Practice with AI
  5. Principles of Ethical AI for Legal Professionals
  6. Bias in Artificial Intelligence Systems
  7. Liability in the Age of AI
  8. Artificial Intelligence and the Courts
  9. AI and the Business of Law Practice
  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
• A Short & Happy Guide to Artificial Intelligence and Legal Ethics

  Nancy B. Rapoport and Joseph R. Tiano Jr. · West Academic, Apr. 2026 · Study aid

  Short plain-language guide to how the rules of professional conduct apply when lawyers use AI: confidentiality, competence, conflicts, transparency, and fees.

  Buy the print edition

  Contents (10 chapters)

  1. Introduction: The Legal Profession at an Inflection Point Generative AI, other legal tech, ethics, and the future of practice.
  2. Overview: What's All of This Fuss About Artificial Intelligence and Legal Technology, Anyway?
  3. Competence and Diligence
  4. Confidentiality and Data Security in the Age of Artificial Intelligence
  5. Communicating with Clients, Counterparties, and the Court
  6. Artificial Intelligence and the Ethics of Lawyer Advertising and Solicitation
  7. Artificial Intelligence, Rule 1.5, and the New Arithmetic of “Reasonable” Fees
  8. Duty to Supervise
  9. The Unauthorized Practice of Law and Jurisdictional Issues
  10. Conflicts of Interest

  Source: www.vitalsource.com

  SubscriptionWest Academic Study Aids · $30 print
• AI Law and Policy: Selected Statutes, Regulations, and Other Materials

  Margaret Hu · Aspen Publishing, Feb. 2026, 684 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$80
• 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

  Purchase
• 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
• Teaching AI-Augmented Legal Research

  Emily Pavuluri · 2026 · Website

  Teaching site rather than a book. Sets out five teaching pillars, twelve reusable exercises with teaching notes, and a session builder for asynchronous formats.

  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
• Legal Issues of Generative and Agentic Artificial Intelligence

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

  Self-published companion volume on the legal issues raised by generative and agentic AI. Not press-reviewed.

  Contents (14 chapters)

  1. The “ChatGPT Moment” and the AI Value Chain from GenAI to Agentic AI
  2. A Liability Map: “Who Did What” and Why It Matters
  3. Copyrightability of AI-Assisted Outputs
  4. Copyright Infringement or Fair Use in GenAI Training and Outputs
  5. Patents and Trade Secrets: Innovation vs. Disclosure in the Age of Artificial Intelligence
  6. Cybersecurity in the Age of Generative AI and AI Agents
  7. Trademarks, Unfair Competition, and Brand Misuse
  8. AI Crime and Punishment: The Criminal Law Event Horizon for Deepfakes, Hackers, and Rogue Agents
  9. Artificial Intelligence and the Rights of Publicity and Privacy
  10. News and Public Affairs Reporting Including AI Disinformation Activities
  11. Evidence Law and Artificial Intelligence
  12. Employment and Labor Law and the Algorithmic Boss
  13. Legislating Generative Artificial Intelligence: Can Legislators Put a Box Around Pandora?
  14. 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

  Purchase
• 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

  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, Sept. 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
  3. Conceptualizing AI Governance
  4. Algorithmic Discrimination and Disparate Impact
  5. Transparency and Explanation
  6. Data Privacy and Autonomy
  7. Personhood and Citizenship
  8. Human Oversight and Generative AI
  9. Selected European Union (EU) Frameworks
  10. Selected International Frameworks
  11. U.S. Federal and State Law Developments
  12. Overlapping Legal Regimes: International and Domestic, Public and Private
  13. Expressive Freedoms
  14. Elections and Deepfakes
  15. Due Process and Equal Protection
  16. Criminal Procedure
  17. Worker Protections in Equal Employment and Disability Laws
  18. Consumer and Financial Protections
  19. Overview of AI Product Liability and Negligence: Examining the Intersection of Tort and Contract Law
  20. Privacy Torts and Defamation
  21. Data Protection, Cybersecurity, and Web Scraping
  22. Intellectual Property
  23. Securities and Antitrust
  24. Impact on Legal Practice and Legal Systems
  25. AI Ethics and Audits
  26. Remedies and Preventive Measures
  27. National Security
  28. Humanity and Sustainability

  Source: aspenpublishing.com

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• AI and the Legal Profession: Transforming the Future of Law, 2nd ed.

  Colin Levy, ed. · Globe Law and Business, Sept. 2025 · Practitioner book

  Edited volume of practitioner essays on AI in the legal profession.

  Contents (12 chapters)

  1. Artificial Intelligence, Authentic Practice: The Uneasy Partnership Reshaping Legal Services By Colin Levy. Human judgment and AI capabilities, governance frameworks, judgment skills, professional standards for collaboration.
  2. The Law, GenAI, and Us: A Journey into the Future of Legal Thinking By Valérie M. Saintot. How generative AI changes thinking; training the legal mind; a prompting accountability checklist.
  3. Challenges and Ethical Considerations in the Age of Generative AI By Natalie Pierce and Stephanie Goutos. Professional obligations, the risks of not using generative AI, best practices.
  4. The Data Drain: Navigating Copyright Challenges in the Era of AI By Joanne Brook. Training data ownership, claiming back copyright, whether AI output is art.
  5. The Legal Technology Playbook: A Step-by-Step Guide to Implementing Legal Technology By Justin Turman. Ten phases from needs assessment to evaluation.
  6. Managing Expectations: Practical Steps to Achieve Successful AI Implementation By Mark Gediman. Why AI cannot yet replace legal research; choosing tools.
  7. The Global Impact of the European Union's AI Act on the Legal Profession By Itsiq Benizri. Essentials of the Act, effects on non-EU law, compliance requirements for legal professionals.
  8. Navigating Regulatory Frameworks: Building Ethical and Compliant AI in the Legal Sector By Harry Borovick. Ethical and legally compliant AI, frameworks, compliance strategies.
  9. AI in the Legal Arena: Navigating Ethics, Confidentiality, and Professional Responsibility By Erick Robinson. Confidentiality and privacy, client consent, security, balancing innovation with ethics.
  10. The Human Side of Legal AI: Leadership and Value Creation in In-House Teams By Rasmus Kirkeby Salling and Peter Kaas. Leadership, capturing and measuring value, setting the team.
  11. Building AI-Ready Legal Teams: Strategies for Hiring and Integrating External Talent By Matthew Dunne.
  12. Tech and Law: How Research Prototyping Drives GenAI Adoption in Legal Practice By Megan Ma. Prototyping with purpose, testing and evaluation.

  Source: www.globelawandbusiness.com

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• 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

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• Generative AI and the Delivery of Legal Services

  Thomas G. Martin · LawDroid Press, 2025 · Textbook

  Textbook with an accompanying workbook on generative AI in legal service delivery. Assumes no technical background. Free to read online; all rights reserved, so link or excerpt rather than remix.

  Contents (13 chapters)

  1. The Context of Generative AI Part I, Foundations of Generative AI in Legal Practice.
  2. How Does Generative AI Work?
  3. Generative AI Models and Tools
  4. Legal AI Tools and Use Cases
  5. Bringing It All Together Review of chapters 1 through 4.
  6. Prompt Engineering and RAG Part II, Impact of Generative AI on the Legal Profession.
  7. Impact of AI on the Business and Practice of Law
  8. Ethical and Regulatory Implications of AI in Law
  9. Rethinking Access to Justice and Pro Bono
  10. Consolidated Review of Key Concepts Review of chapters 6 through 9.
  11. Cultivating a Culture of Innovation and Continuous Learning Part III, Generative AI Strategy, Change Management, and Professional Growth.
  12. Transformative Change and the Future of AI in Law Practice
  13. Workbook Exercises for each chapter and a capstone AI integration plan; glossary, minilectures, podcasts, and a chatbot tutor in the appendix.

  Source: books.lawdroidmanifesto.com

  Free to read
• 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.

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• 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

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• 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: Legal Issues, Policy, and Practical Strategies

  Cynthia H. Cwik, Christopher A. Suarez, and Lucy L. Thomson, eds. · American Bar Association, 2024 · Practitioner book

  Edited volume of practitioner chapters on legal issues, policy, and practice strategies for AI.

  Contents (17 chapters)

  1. Part One: Reflections on Artificial Intelligence and the Law Ten short essays by Michael Chertoff, Trooper Sanders, Reva Schwartz, Miriam Vogel, Steven P. Croley, Ericka Watson, Bridget McCormack, Daniel E. Ho and colleagues, David Danks, and Paul Rosenzweig, on topics from soft law and the NIST framework to benefits adjudication and black-box reasoning.
  2. Artificial Intelligence: A Primer for Legal Practitioners By Hany Farid. Predictive AI, regression, neural networks, a recidivism case study, generative AI for language and images, real or fake.
  3. Governing AI in a Changing World By Cynthia H. Cwik, Karen E. Silverman, and Joseph Blass. What is different about governing AI; US federal, state, and international paradigms; responsible AI principles and practices.
  4. AI and Ethics: A Lawyer's Professional Obligations By Lucian T. Pera, John F. Weaver, and Andrew P. Sutton. Model Rules 1.1, 1.3, 1.4, 1.5, 1.6, 1.18, 2.1, 3.3, 5.1, 5.3, 5.5, 7.1, and 7.2.
  5. The Promise of Digital Legal Assistants By Ivan Fong. Promise, risks, and a framework for assessing digital legal assistants.
  6. Practice Management: Use Cases for Generative AI and Associated Risks By John Rosenthal and Scott Milner. Legal research, summarization, document review, drafting, contract management, due diligence; best practices.
  7. Paths to Responsible AI: Reflections from the Classroom By Jeffrey W. Chivers, William N. Eskridge, Jr., and Theodore I. Rostow. Technical basics, effects on the profession, legal education, and scholarship.
  8. Artificial Intelligence and the Courts By Hon. Scott U. Schlegel, Maura R. Grossman, and Hon. Herbert B. Dixon, Jr. The ChatGPT sanctions episode, deepfakes, experts and evidentiary rules, lawyers' and judges' use, court operations, virtual courtrooms.
  9. Artificial Intelligence and Access to Justice: A Potential Game Changer in Closing the Justice Gap By Ray Brescia and James Sandman. Tenant rights, serving veterans, the justice gap.
  10. AI in the Workplace By Stephanie Wilson and Natalie Pierce. HR uses, legislative guidance and discrimination suits, worker displacement and reskilling, the EU AI Act and AI Liability Directive.
  11. Artificial Intelligence and the Intellectual Property Explosion By Christopher A. Suarez and Margaret M. Welsh. Predictive and generative AI across patents, copyright, trade secrets, and trademark; authorship and infringement case law; IP management and licensing.
  12. Legal Issues at the Convergence of AI and the Internet of Things By Christopher A. Suarez. Data protection, cybersecurity, privacy, IP, and e-discovery.
  13. Cybersecurity Challenges with Artificial Intelligence By Lucy L. Thomson. Offensive and defensive uses, the IoT Cybersecurity Improvement Act, Executive Order 14110, NIST AI RMF, the EU AI Act, UK NCSC guidelines, the Hiroshima Process.
  14. Protecting Privacy in an AI-Powered World By Ruth Hill Bro and Lothar Determann. Legislation, regulatory action, litigation; biometrics, children, automated decision-making, anonymization and reidentification.
  15. AI and National Security Law By Brig. Gen. R. Patrick Huston (Ret.). Autonomous weapons, intelligence, deepfakes, the law of war, human-machine teaming.
  16. European Perspective on the Challenges of AI in the Practice of Law By Péter Homoki. Languages, divergent national laws, transfer learning and transparency in the EU.
  17. The Long-Term Future of Law and Artificial Intelligence By Stephen S. Wu. Scenarios from more of the same to superintelligence; AI rights and personhood, liability, integration with the human body.

  Source: www.americanbar.org

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• Artificial Intelligence and Academic Integrity

  April G. Dawson · Aspen Publishing, Aug. 2023 · 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
• Legal Informatics

  Daniel Martin Katz, Ron Dolin, and Michael J. Bommarito II, eds. · Cambridge University Press, 2021 · MonographPre-generative AI

  Edited volume on legal informatics. Individual chapters are assignable on their own.

  Contents (34 chapters)

  1. Motivation and Rationale for this Book Part I, Introduction to Legal Informatics. By Michael J. Bommarito, Daniel Martin Katz, and Ron Dolin.
  2. Technology Issues in Legal Philosophy By Ron Dolin.
  3. The Origins and History of Legal Informatics By Michael J. Bommarito.
  4. Representation of Legal Information Part II, Building Blocks and Core Concepts. By Katie Atkinson.
  5. Information Intermediation By Ron Dolin.
  6. Preprocessing Data By Michael J. Bommarito.
  7. XML in Law: The Role of Standards in Legal Informatics By Ron Dolin.
  8. Document Automation By Marc Lauritsen.
  9. AI + Law: An Overview By Daniel Martin Katz.
  10. Machine Learning and Law By Daniel Martin Katz and John J. Nay.
  11. Natural Language Processing for Legal Texts By John J. Nay.
  12. Introduction to Blockchain and Cryptography By Nelson M. Rosario.
  13. Legal Informatics-Based Technology in Broader Workflows By Kenneth A. Grady.
  14. Gamification of Work and Feedback Systems By Stephanie Kimbro.
  15. Introduction to Design Thinking for Law By Margaret Hagan.
  16. Measuring Legal Quality By Ron Dolin.
  17. Contract Analytics Part III, Use Cases in Legal Informatics. By Noah Waisberg.
  18. Contracts as Interfaces: Visual Representation Patterns in Contract Design By Helena Haapio and Stefania Passera.
  19. Distributed Ledgers, Cryptography, and Smart Contracts By Nina Gunther Kilbride.
  20. Patent Analytics: Information from Innovation By Andrew W. Torrance and Jevin D. West.
  21. The Core Concepts of E-discovery By Jonathan Kerry-Tyerman and A. J. Shankar.
  22. Predictive Coding in E-discovery and the NexLP Story Engine By Irina Matveeva.
  23. Examining Public Court Data to Understand and Predict Bankruptcy Case Results By Warren E. Agin.
  24. Fastcase, and the Visual Understanding of Judicial Precedents By Ed Walters and Jeff Asjes.
  25. Mining Information from Statutory Texts in a Public Health Domain By Kevin D. Ashley.
  26. Gov2Vec: A Case Study in Text Model Application to Government Data By John J. Nay.
  27. Representation and Automation of Legal Information By Katie Atkinson.
  28. Online Dispute Resolution By Dave Orr and Colin Rule.
  29. Access to Justice and Technology: Reaching a Greater Future for Legal Aid By Ronald W. Staudt and Alexander F. A. Rabanal.
  30. Designing Legal Experiences: Online Communication and Resolution in Courts By Maximilian A. Bulinski and J. J. Prescott.
  31. Adaptive Innovation: The Innovator's Dilemma in Big Law Part IV, Legal Informatics in the Industrial Context. By Ron Dolin and Thomas Buley.
  32. Legal Data Access By Christine Bannan.
  33. A History of Knowledge Management at Littler Mendelson By Scott Rechtschaffen.
  34. Legal Operations at Google By Mary O'Carroll and Stephanie Kimbro.

  Source: www.cambridge.org

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• 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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• On Legal AI

  Joshua Walker · Full Court Press, 2019 · Practitioner bookPre-generative AI

  Practitioner account of AI in law from 2019. The publisher page is no longer available.

  Contents (6 chapters)

  1. Part I: Tabula Rasa Essential codes; a classification and procedures practicum; work as foil to pretension; four axioms in a bottle; definitions, representations, models.
  2. Part II: Why, What, How
  3. Part III: A Computational Model of Law A brief history of law and computer science; a narrow view of a scalable truth.
  4. Part IV: Eden Initial conditions; a brief recipe.
  5. Part V: FinCity Project background; design; empirical work; FinCity Net; evolution.
  6. Coda: Next Acts, Recursive Steps FinCity as AI; AI futures past.

  Source: lawcat.berkeley.edu

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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 and Legal Analytics: New Tools for Law Practice in the Digital Age

  Kevin D. Ashley · Cambridge University Press, 2017 · MonographPre-generative AI

  Technical account of computational models of legal reasoning and text analytics as of 2017. Predates large language models.

  Contents (12 chapters)

  1. Introducing AI & Law and Its Role in Future Legal Practice
  2. Modeling Statutory Reasoning
  3. Modeling Case-based Legal Reasoning
  4. Models for Predicting Legal Outcomes
  5. Computational Models of Legal Argument
  6. Representing Legal Concepts in Ontologies and Type Systems
  7. Making Legal Information Retrieval Smarter
  8. Machine Learning with Legal Texts
  9. Extracting Information from Statutory and Regulatory Texts
  10. Extracting Argument-Related Information from Legal Case Texts
  11. Conceptual Legal Information Retrieval for Cognitive Computing
  12. Cognitive Computing Legal Apps

  Source: www.cambridge.org

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• Artificial Intelligence Law

  Margot E. Kaminski, Paul Ohm, and Andrew D. Selbst · Foundation Press, forthcoming, 985 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

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• 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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