eLEARNING

Trends in Teaching AI in the University Setting

Includes a Live Web Event on 09/18/2026 at 3:10 PM (CDT)

This session will feature two presentations centered around Trends in Teaching AI in the University Setting: 

  • AI-Integration in First Semester Legal Research & Writing
  • Educational program to be announced


AI-Integration in First Semester Legal Research & Writing

This session presents a practical, classroom-tested approach to integrating generative AI into first-year Lawyering Skills instruction. Drawing on implementation at an academic law library and legal research program, the presentation demonstrates how AI can be embedded within core competencies (case analysis, legal reasoning, and research) rather than treated as a standalone topic. Through structured assignments, students critically evaluate AI-generated legal work, identify hallucinated authorities, compare human and AI drafting, and develop verification habits essential to professional practice. The session emphasizes real-world challenges, including overreliance, accuracy, and ethical obligations, while offering concrete exercises and workflows that legal information professionals can adapt in their own instructional settings. This talk highlights lessons learned, student outcomes, and strategies for fostering AI literacy grounded in judgment, accountability, and rigorous legal research.

TARGET AUDIENCE:

Academic Law Librarians, Court Librarians, Firm/Private Law Librarians, Government Law Librarians, Legal Research & Writing Instructors (Non-librarians), Knowledge Management & Innovation Professionals, and Newer Legal Information Professionals/Early Career Librarians.

TAKEAWAYS:

  1. Evaluate AI-generated legal content critically by identifying hallucinated citations, misapplied authority, and gaps in reasoning, using structured verification techniques applicable to real research workflows.
  2. Integrate AI tools into legal research and writing instruction in ways that reinforce—rather than replace—core competencies such as case analysis, rule synthesis, and predictive reasoning.
  3. Apply ethical and professional standards to AI use by developing practices that promote transparency, accuracy, and accountability in line with legal research norms and professional responsibility rules.

SPEAKERS:

  • Frank Young, Reference Librarian & Instructor, University of Illinois Chicago School of Law

AALL BODY OF KNOWLEDGE DOMAINS: Professionalism + Leadership At Every LevelResearch + AnalysisTeaching + Training

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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.

Frank Young

Frank Young

Reference Librarian & Instructor

University of Illinois Chicago School of Law

Frank Young graduated cum laude from The John Marshall Law School and earned an MLIS with distinction from Chicago State University. He recently began a PhD program in Information Studies at Dominican University. Following five years of service with the Michigan Court of Appeals, Young received the Distinguished Service Award from the judges of the court. Upon her appointment to the federal bench in the Southern District of Indiana, United States Magistrate Judge Denise K. LaRue selected Young as her law clerk. He later litigated intellectual property, commercial, and administrative matters before transitioning into the field of Big Data. Young joined the Louis L. Biro Law Library in 2023 as a Law, Information & Technology Librarian. In that role, he provides research support to faculty and students, delivers presentations on legal research and resources, develops scholarly content on AI-integrated legal analysis, advises law journal editors, and teaches as an instructor, co-instructor, and guest lecturer. As part of his role at UIC Law, Young teaches Lawyering Skills I (Legal Research and Writing) and the research component of Lawyering Skills II. He also teaches the evolving AI-Integrated Legal Analysis course and hopes to teach Animal Law in the future. In addition, Young serves on the Chicago State University MLIS Advisory Board, the UIC Senate, and in leadership and service roles with several law library associations.

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Trends in Teaching AI in the University Setting
09/18/2026 at 3:10 PM (CDT)  |  60 minutes
09/18/2026 at 3:10 PM (CDT)  |  60 minutes