University of Illinois Urbana-Champaign

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

University of Illinois Urbana-Champaign

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

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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
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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Build your subject-matter expertise

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.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There are 2 modules in this course

You will learn how the NIST AI Risk Management Framework helps organizations turn legal requirements into governance and compliance processes through use case profiles, the generative AI profile, and audit crosswalks. You will also learn how U.S. states such as California, Colorado, Texas, Utah, and Illinois regulate AI, including the differences between holistic and targeted approaches and the open question of federal preemption. Finally, you will learn how organizations can build a baseline governance architecture that supports both broad and sector-specific AI obligations.

What's included

6 videos1 reading5 assignments

You will learn how to turn high-level AI governance principles into a working program using the NIST AI Risk Management Framework and its playbook, including how to build an AI system inventory. You will also learn how third-party AI tools, models, and data create risk, as illustrated by cases involving Apple, McDonald's, Workday, and Rite Aid, and how contract provisions such as indemnity help allocate risk without replacing your own governance and oversight.

What's included

6 videos1 reading6 assignments

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Instructor

University of Illinois College of Law
University of Illinois Urbana-Champaign
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