Date: Wednesday, July 22, 2:00 PM – 3:00 PM ET/1:00 PM – 2:00 PM CT/12:00 PM – 1:00 pm MT/11:00 AM – 12:00 PM PT
Section on Technology, Law and Legal Education
Every law professor knows the moment: a polished memo lands in the inbox, and there’s no honest way to know who (or what) wrote it. Detection software doesn’t work (and is biased against some students), blanket bans don’t stick, and rebuilding every assessment from scratch isn’t happening this semester. This webinar offers a three-category framework — resistant, integrated, and transparent — for designing assessments that hold up in an AI-enabled classroom without requiring a complete overhaul. Each category gets real examples, not theory. The session also demonstrates the Argument Coach, a Custom GPT that does something most faculty want to do but can’t at scale. Students find it genuinely useful. Faculty find it quietly revelatory. Come find out why those two things are both true.
Korin Munsterman, Director of Legal Education Technology and Professor of Practice, UNT Dallas College of Law
Korin Munsterman is Director of Legal Education Technology and Professor of Practice at UNT Dallas College of Law, where she brings over three decades of experience in legal technology, education, and library science to her teaching and scholarship. She teaches AI and the Law, Introduction to Generative AI and the Practice of Law, Law Practice Technology, and Social Media and the Law. Her publications include contributions to the Elgar Concise Encyclopedia of Artificial Intelligence and the Law (Elgar, November 2025) and two forthcoming books: AI and the Practice of Law in a Nutshell (West Academic, April 2026) and GenAI and Legal Education: A Practical Guide for Professors and Students (CALI, April 2026). She speaks regularly on AI and legal technology at national conferences and to bar associations and law firms across the country.
