Is it ethical to use AI for legal research? What are the limits we need to keep in mind when using AI legal research tools? In this program, we will explore the intersection between ethics, technology, artificial intelligence (AI), and law libraries. We will analyze the relevant Model Rules of Professional Responsibility (MRPR) that apply to the use of AI tools in law libraries and their organizations. We will discuss strategies librarians can employ to ethically integrate AI into their own work. And we will explore broader ethical issues AI imposes on legal research and practice, such as bias, transparency, and accountability.

Attendees will be encouraged to share their own knowledge and thoughts about the topic and make recommendations for future areas of research, scholarship, and best practices

TARGET AUDIENCE:

This program is intended for reference/research librarians from all organizations and levels of experience, as well as any other librarians who use AI legal research tools.

TAKEAWAYS:

1. Participants will identify and analyze MRPR rules that apply to using AI tools in law libraries and legal organizations.
2. Participants will strategize how librarians can ethically approach using AI in their own work.
3. Participants will explore broader ethical issues that AI imposes on legal research and the law such as bias and transparency.

SPEAKERS:

• Christine H. Park, Harvard Law School Library
• Ankur Doshi, Oregon State Bar
• Gregory H. Siskind, Visalaw.ai

COORDINATOR:

• Debbie Ginsberg, Harvard Law School Library

AALL BODY OF KNOWLEDGE DOMAINS: Research + Analysis, Teaching + Training

CANCELLATION AND OTHER POLICIES:

No refunds will be given for any purchased AALL conference recording. This applies to non-AALL members only as the recordings are free for AALL members.

The opinions shared during this program represent the views of the speakers and do not necessarily reflect those of the American Association of Law Libraries (AALL). Recording, capturing, or using AI tools to duplicate, transcribe, or otherwise reproduce an AALL program in any form is strictly prohibited without prior written consent from AALL. This includes, but is not limited to audio, video, or any other content shared. By accessing an AALL recording, you agree to adhere to this policy.