Abstract
Good legal hypotheticals require carefully constructed scenarios designed to mimic the challenges and dilemmas that students will face in their future legal careers. Hypotheticals help students take abstract concepts such as negligence or res ipsa loquitor and ground them in the reality that these rules were meant to control. Yet, despite our best efforts, creating hypotheticals with a rich tapestry of facts, personalities, and complexities that characterize real-world legal practice remains challenging and time-consuming. Artificial Intelligence (AI) can solve this problem. By leveraging emerging AI technology, legal educators can create richer, more realistic hypotheticals that react to students and keep track of information. Not only are reactive hypotheticals more realistic, but they’re also much easier and less time-consuming to create. With the power of AI and reactive hypotheticals, students can now take the legal doctrine they learn in law school and apply it to factual scenarios that mimic real life.
Recommended Citation
Steward, Sean
(2024)
"Reactive Hypotheticals in Legal Education: Leveraging AI to Create Interactive Fact Patterns,"
Akron Law Review: Vol. 57:
Iss.
3, Article 2.
Available at:
https://ideaexchange.uakron.edu/akronlawreview/vol57/iss3/2