AI Learning Resources - Faculty - Artificial Intelligence [AI] and Legal Research

Governmental Bodies, Academic Institutions, Professional Organizations & Associations

Congressional Actions:
1. House:
  1. H.R. 6881 - AI Foundation Model Transparency Act of 2023.
  2. H.R. 6943 - No AI FRAUD Act of 2024.
2. Senate:
  1. S. 4178 - Future of Artificial Intelligence Act of 2024
  2. S. 4769 - Validation and Evaluation for Trustworthy (VET) Artificial Intelligence Act of 2024.
Federal Administrative Agencies:
1. NIST:
State Actions:
1. Illinois General Assembly:
  1. SB2979, Section 5. The Biometric Information Privacy Act
2. Illinois State Bar Association:
  1. 27 September 2023 Report to ISBA President Shawn Kasserman regarding recommendations on the impact of AI in the practice of law in Illinois.
American Bar Association [ABA]:
1. ABA Comm'n on Ethics & Prof'l Responsibility, Formal Op. 512 (2024)
American Association of Law Librarians [AALL]:
1. Talley, Nancy B., Imagining the Use of Intelligent Agents and Artificial Intelligence in Academic Law Libraries, 108 Law Lib. J. 3 (2016).
LexisNexis
1. AI Goes to Law School - Course Handout, LexisNexis CLE (2023)

Articles

Artificial Intelligence, broadly
History of Artificial Intelligence Developments
1. Greenstein, Stanley, Preserving the Rule of Law in the Era of Artificial Intelligence (AI), 30 Artificial Intelligence and Law 291 (2022). https://doi.org/10.1007/s10506-021-09294-4.
Lack of a Universally Applied Definition of Artificial Intelligence
1. Greenstein, Stanley, Preserving the Rule of Law in the Era of Artificial Intelligence (AI), 30 Artificial Intelligence and Law 291 (2022). https://doi.org/10.1007/s10506-021-09294-4.
Machine Learning
1. Chang, Edward, Prompting Large Language Models with the Socratic Method, IEEE Computing & Comm. Workshop and Conf. - CCWC (March 2023). https://doi.org10.48550/arXiv.2303.08769
2. Greenstein, Stanley, Preserving the Rule of Law in the Era of Artificial Intelligence (AI), 30 Artificial Intelligence and Law 291 (2022). https://doi.org/10.1007/s10506-021-09294-4.
3. Vassilev, Apostol, et al., Adversarial Machine Learning: A Taxonomy and Terminology of Attacks and Mitigations. (National Institute of Standards and Technology, Gaithersburg, MD), NIST Trustworthy and Responsible AI (AI) NIST AI 100-2e202e. https://doi.org/10.6028/NIST.AI.100-2e2023.
4. See "AI vs. Machine Learning" video in Videos & Podcasts.
5. "Machine Learning vs. Deep Learning" video in Videos & Podcasts.
Deep Learning
1. Baker, Jamie J., 2018: A Legal Research Odyssey: Artificial Intelligence as Disruptor, 110 Law Library Journal 1 (2018).
2. Sejnowski, Terrence J., The Unreasonable Effectiveness of Deep Learning in Artificial Intelligence, 117 PNAS 48 (2020). https://doi.org/10.1073/pnas.1907373117.
3. See "Machine Learning vs. Deep Learning" video in Videos & Podcasts.
4. See "AI, ML, DL, and GenAI" video in Videos & Podcasts.
Neural Networks
1. Searle, J.R., Is the Brain's Mind a Computer Program?, 262 Scientific American 20 (1990).
2. Feijo, Diego de Vargas, Improving Abstractive Summarization of Legal Rulings Through Textual Entailment, 31 Artificial Intelligence and Law (2023). https://doi.org/10.1007/s10506-021-09305-4.
3. Greenstein, Stanley, Preserving the Rule of Law in the Era of Artificial Intelligence (AI), 30 Artificial Intelligence and Law 291 (2022). https://doi.org/10.1007/s10506-021-09294-4.
4. See "Neural Networks Explained in Five Minutes" video in Videos & Podcasts.
Linear Regression via Gradient Dissent
1. See "Neural Networks Explained in Five Minutes" video in Videos & Podcasts.
Transformers
1. See "Neural Networks Explained in Five Minutes" video in Videos & Podcasts.
Algorithms
1. Annalee Hickman, How to Teach Algorithms to Legal Research Students, 28 Persp. 73 (2020).
2. Baker, Jamie J., 2018: A Legal Research Odyssey: Artificial Intelligence as Disruptor, 110 Law Library Journal 1 (2018).
Natural Language Processing
1. Baker, Jamie J., 2018: A Legal Research Odyssey: Artificial Intelligence as Disruptor, 110 Law Library Journal 1 (2018).
2. Brahman, Faeze, Maieutic Prompting: Logically Consistent Reasoning with Recursive Explanations, Assoc. for Comp. Linguistics, pp.1266-1279 (2022). https://www.doi.org/10.18653/v1/2022.emnlp-main.82
Tokenization
1. Schmidt, Craig W., et al., Tokenization is More Than Compression, Cornell University Library (2024). https://doi.org/10.48550/arXiv.2402.18376.
2. See "What is Natural Language Processing [NLP]?" video in Videos & Podcasts.
Prompting/Prompt Engineering
Computer-Assisted Legal Research Fundamentals & Comparisons Between CALR and AIALR
1. Davis, Anthony E., The Future of Law Firms (and Lawyers) in the Age of Artificial Intelligence, 16 Direito GV L. Rev. 1 (2020).
2. Talley, Nancy B., Imagining the Use of Intelligent Agents and Artificial Intelligence in Academic Law Libraries, 108 Law Lib. J. 3 (2016).

News Articles/Surveys

Metz, Rachel, OpenAI Scale Ranks Progress Toward 'Human-Level' Problem Solving, Bloomberg Law News (12 July 2024).
Law School Preparedness Survey - Fall 2023, Bloomberg Law

Books, Book Chapters, & Essays

The Process of Legal Research
Kunz, Christina L. (2004)

This foundational legal research textbook outlines the basics of CALR [computer assisted legal research] and bibliographic legal research.
Understanding A.I.: Fundamentals and Applications
Albert Chun-Chen Liu (2022)

This is an introductory book for professionals and undergraduate students without any background in artificial intelligence. The book describes how the new artificial intelligence technology, neural network, totally changes our everyday life. It first describes the neural network development history and introduces the classical neural network -- convolutional neural network architecture. After that, it covers the artificial development in six different areas; healthcare, finance, retail, manufacturing, agriculture, and smart city. This book targets students with different backgrounds, such as, business, humanity, arts, science and engineering, allowing them to understand the artificial intelligent general applications and how this impacts on their future.
Artificial Intelligence: Legal Issues, Policy, and Practical Strategies
Edited by Cynthia H. Cwik, Christopher A. Suarez & Lucy L. Thomson

Published by the ABA, this book covers a wide range of important topics concerning AI and the law, and it provides practical advice to attorneys on how to navigate these complex and rapidly evolving issues.