This course helps professionals turn AI governance principles into practical programs and compliance strategies. You will learn how the NIST AI Risk Management Framework and its playbook translate legal requirements into concrete tasks, including AI inventories and use case profiles. You will also explore how California, Colorado, and Illinois regulate AI, and how holistic and targeted regulatory models affect compliance planning. Finally, you will learn how to manage third-party AI risk, drawing on real-world case studies and contract provisions such as indemnity.

AI Legal Compliance: Rules, Standards, and Third-Party Risk

AI Legal Compliance: Rules, Standards, and Third-Party Risk
This course is part of AI Governance and Compliance in Law Specialization

Instructor: Brian Trackman
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Gain insight into a topic and learn the fundamentals.
Beginner level
Recommended experience
8 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
Apply the NIST AI Risk Management Framework and playbook to build an AI governance program, including AI inventories and use case profiles
Compare holistic and targeted AI regulation, including California, Colorado, and Illinois laws, to plan a multi-state compliance strategy
Assess third-party AI risk and use contract provisions such as indemnity to allocate risk without replacing your own oversight
Details to know

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Recently updated!
October 2026
Assessments
11 assignments
Taught in English
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This course is part of the AI Governance and Compliance in Law Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 2 modules in this course
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