The generative AI disruption is omnipresent. It seems there isn’t a field that isn’t dealing with the consequences of generative AI, grappling with how to incorporate it (or not), regulate it and to what extent, and adjust to the new realities. The book display on L1 shows a selection of recent acquisitions on artificial intelligence added to the Lillian Goldman Law Library's collection.
The items displayed include publications about artificial intelligence and its impact across a range of fields, including, but not limited to intellectual property; commercial, business, and finance law; criminal law; labor sector and labor law; education; global governance; regulation of AI; privacy and cybersecurity; ethics; impact of AI on legal profession (practice of law, lawyering, role of courts, and legal advice); EU regulation; AI and the future of historical research; taxation; health care; and AI and the individual, the human and digital experience.
Use Quicksearch to discover more publications at Yale. For example:
- Artificial Intelligence AND K–Law
- Artificial Intelligence AND L-Education
- Artificial Intelligence AND J–Political Science
- Artificial Intelligence AND B-Philosophy, Psychology, and Religion
- Artificial Intelligence AND U-Military Science
- Artificial Intelligence AND H–Social Sciences
- Artificial Intelligence AND R-Medicine
- Artificial Intelligence AND T–Technology
The European Union has passed the EU Artificial Intelligence Act (Regulation (EU) 2024/1689), which aims to be the first “comprehensive, horizontal, and legally binding” attempt at regulating AI, addressing the classification of AI according to its risk, the responsible parties for high-risk AI systems, the liabilities and obligations of deployers of high-risk AI systems, and articulating minimum standards for general-purpose AI systems. In addition, it identifies prohibited, high-risk, and general-purpose AI systems and sets out an initial AI governance plan.
The Congressional Research Service (CRS) has published numerous reports on the impact of AI. See, for example, Artificial Intelligence: CRS Products (April 14, 2026).
Law schools across the country are also articulating policies on the use of artificial intelligence. See, for example:
- UC Berkeley School of Law Artificial Intelligence Policy (Summer 2026)
- Elizabeth Haub School of Law Artificial Intelligence Policy (Fall 2025)
- UNC School of Law Policy on Student Use of Generative Artificial Intelligence Tools (“Gen AI Tools”) (August 2023)
- BYU Law School Technology Committee Memorandum (September 2023)
- Quinnipiac University Artificial Intelligence Policy (2025-2026 edition)
For more policies, visit the AI in Legal Education website, launched by Andrew Perlman, the Dean of Suffolk University Law School, which compiles the varied policies of US law schools. 173 out of the 196 law schools are included as of September 4, 2026.
