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Information Management

Research + Analysis

A Tangled Web: Artificial Intelligence, Legal Research, Copyright, and Terms of Use

Tuesday, July 23, 2024

11:15am – 12:15pm CDT

Room: Regency Ballroom C (West Tower Gold Level)

Coordinator/Speaker(s)

Leslie Street

Director of the Law Library and Clinical Professor of Legal Research
Wolf Law Library, William and Mary Law School

Slides (PDF)

Speaker(s)

Kyle K. Courtney

Director of Copyright and Information Policy
Harvard University
Cambridge, Massachusetts, United States
Emily R. Florio (she/her/hers)

Director of Knowledge Research
DLA Piper LLP (US)
Washington, District of Columbia, United States
Roger Skalbeck (he/him/his)

Associate Dean and Professor of Law
Richmond School of Law

Wordly Closed Captioning: https://attend.wordly.ai/join/CDDA-9697

In the past year, law librarians have been bombarded with the promise of new artificial intelligence systems revolutionizing the way that legal research is done. Although these systems are still in their infancy, seemingly almost weekly publishers and legal information vendors offer new talking points regarding how their electronic systems will utilize AI to save legal researchers time and energy and find better results more quickly. Many products have already been rolled out to the market. However, as quickly as these products have been released, important questions remain regarding copyright and terms of use for AI systems. Who owns the information that AI systems use to produce results? Who owns the information that these systems produce? Do systems violate copyrights of authors? What about when primary law is restricted by terms of use that do not allow it to be used in more publicly accessible AI systems? This program, sponsored by AALL's Copyright Committee, will attempt to untangle some of these thorny questions in the realm of legal information and legal information systems, and will approach these questions from diverse perspectives of the law firm world, the academic world, and the world of those who provide legal information to the public.

Target Audience:

Anyone who teaches legal research or engages with AI as a part of legal research, those who purchase legal research tools with AI those who are concerned about information access issues, and advocate librarians who want to be engaged with issues surrounding AI and copyright.

Learning Objectives:

Participants will expand their understanding of the current copyright disputes involving AI and apply this understanding to the particular context of AI applications in legal research and law libraries.
Participants will consider how their institution or employer's use of AI and how their IP may be used by AI, with or without their consent, with particular discussion of the use of AI in the private law firm market. This discussion will be framed within the larger context of copyright conundrums with the use of AI tools.
Participants will be able to contemplate the future of legal information access for the broader public after learning about the intersection of copyright, privately owned legal information (including terms of use restrictions on privately published official primary law), user-generated content, and AI systems.