Determining what legal Gen AI program to subscribe and purchase is a difficult and expensive decision as the landscape is constantly evolving at an ever accelerated pace.  Insights learned from ten month long carefully organized trial and comparison analysis of competing legal Gen AI programs is described for the lessons learned that can be applied by the attendee.

Participants will gain insights from a structured, real-world comparison of major legal generative AI tools conducted through rigorous, librarian-led testing and evaluation. You’ll discover frameworks for assessing emerging platforms, learn what factors matter most in selecting the right AI companion for different research needs, and come away equipped to make informed, evidence-based decisions in an environment of constant technological flux. Join us to turn uncertainty into strategy and exploration into expertise.  Focus is on the process and procedure and not on the individual vendor products.

TAKEAWAYS:

1. Learn lessons that can be applied to select legal Gen AI programs by carefully planned comparative trials utilizing focus groups, online surveys, and in-person interviews by creation of a scorecard methodology and evaluation matrix.
2. Recognize the similarities and differences between various legal Gen AI programs.
3. Learn how to cut through the marketing noise, presenting insights derived from nearly a year of diligent, head-to-head trials and organized comparative analysis of leading legal Gen AI programs.

SPEAKERS:

• Nathan Rosen, Herrick, Feinstein LLP

AALL BODY OF KNOWLEDGE DOMAINS:  Research + Analysis, Management + Business Acumen

All AALL webinars include live captioning services.

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 attending an AALL program or accessing an AALL recording, you agree to adhere to this policy.