Clinical Assistant Professor of Law
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Explore important questions found at the intersection of artificial intelligence, education, and professional development in the final course of the four-part series “AI for Lawyers and Other Advocates”: How should teachers approach AI?; How should students approach AI?; And what about the leaders of law firms, government agencies, and nonprofit organizations, all of whom know that a key driver of success is making sure their employees have the skills necessary to thrive in a fast-changing world?
Welcome to AI for Lawyers: Learning and Leading, the final course in the AI for Lawyers and Other Advocates series. This course focuses on leading, learning, and making ethical decisions in an AI-driven professional landscape. Learners will examine how AI shapes expertise, feedback, and influence, and develop strategies to lead with clarity, confidence, and responsibility while integrating AI into legal and advocacy practice.
This abbreviated syllabus description was created with the help of AI tools and reviewed by staff. The full syllabus is available to those who enroll in the course.
Module 1: Producing More, Understanding Less
Module 2: Half-Life Your Message
Course materials and assignments are self-paced and remain open throughout the course. To pass and earn a certificate, learners must achieve an overall score of 80% or higher. The final grade is based on the Course Test, which accounts for 100% of the course grade. “Check for Your Understanding” activities are ungraded and included for practice and reflection.
Clinical Assistant Professor of Law
Course content developed by U-M faculty and managed by the university. Faculty titles and affiliations are updated periodically.
Beginner Level
No prior experience required