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NOTE: THIS PROGRAM WILL NOT BE RECORDED.

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.

Teaching + Training

Research + Analysis

Best Practices for Creating Hypotheticals for Legal Research

Monday, July 22, 2024

3:30pm – 4:30pm CDT

Room: Grand Ballroom B (East Tower Gold Level)

Moderator/Coordinator(s)

Melissa Strickland (she/her/hers)

Associate Director for Public Services
LSU Law Library

Slides (PDF)

Speaker(s)

Aimee Self Pittman (she/her/hers)

Reference & Legal Research Instructional Librarian
LSU Law Library
Baton Rouge, Louisiana, United States
Olivia Smith Schlinck (she/her/hers)

Head of Research Instruction, Lecturer in Law
Dr. Lillian & Dr. Rebecca Chutick Law Library, Benjamin N. Cardozo School of Law, Yeshiva University
Theresa K. Tarves (she/her/hers)

Associate Director, Montague Law Library and Professor of Legal Research
Penn State Law University Park, PA
University Park, Pennsylvania, United States

Wordly Closed Captioning: https://attend.wordly.ai/join/FVZR-4286

NOTE: This program will not be recorded.

Have you ever struggled with putting together hypotheticals to teach certain aspects of legal research? Have you ever had a hypo not be understood or not teach what you want it to? Let this panel help you! We will be discussing best practices in hypothetical scenarios for research, three methods for developing hypotheticals (using legal sources, news stories, and AI) and what to do when a hypothetical goes wrong. We will also discuss using AI large language models to help you create and test effective hypotheticals for research instruction, as well as some of the caveats of using those systems to create hypos.

Target Audience:

Anyone who provides research instruction that includes hypothetical problems.

Learning Objectives:

Participants will be able to create hypothetical research problems using at least three different methods.
Participants will be able to describe two principles to evaluate a hypothetical research problem to determine if it works as a hypothetical and meets learning objectives.
Participants will be able to use generative AI large language models to create and test new hypothetical research problems.