Law professors face increasing demands on their time, particularly as they strive to prepare students effectively for an increasingly technology-driven practice environment. In this session, we explore practical, proven strategies for harnessing generative AI to streamline and enrich your teaching preparation process. Participants will learn how to efficiently create customized course exercises, tailored assignments, comprehensive lesson plans, and clearly structured course materials by leveraging AI-powered tools.

Additionally, we’ll discuss key considerations for developing and drafting clear, enforceable AI-use policies that fit the unique needs of different types of courses and assessments. You'll gain insights on crafting policies that not only define acceptable AI usage but also guide students toward ethical, responsible practices.

We will  address how to integrate generative AI  into your existing assignments and classroom activities to ensure students gain meaningful exposure to generative AI tools organically, without necessitating separate, dedicated class sessions devoted solely to AI instruction.

Participants will leave this session equipped with actionable resources, concrete strategies, practical examples, and flexible policy frameworks. These tools will  reduce your preparation workload while improving the quality, help you manage and set clear expectations for AI use in your courses, and ultimately enhance student learning and readiness for technology-rich legal practice.

[This could probably be broken into three 15-min sections: class prep, integrating AI in class and in assignments, and crafting AI policies. I haven't asked any co-presenters yet, but I have several in mind I could invite.]

 

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