AI in Regulatory & Compliance Law

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About Course

This one-hour CLE provides attorneys and compliance professionals with a concise, practical guide to applying artificial intelligence in regulatory and compliance workflows. The course emphasizes how AI can be used to monitor, interpret, and implement regulatory requirements while managing legal and ethical risks. 

Participants will examine key U.S. and international frameworks—including the FTC’s AI guidance, the EU AI Act, and major data privacy laws (GDPR, CCPA)—and learn how AI technologies can be leveraged for real-time compliance tracking, contract risk detection, and reporting. 

Through case-based examples, the program highlights pitfalls such as AI hallucinations, bias in decision-making, and confidentiality risks, alongside strategies for developing internal AI compliance policies. By the end, attendees will have actionable steps to responsibly integrate AI into compliance operations while maintaining legal defensibility. 

Learning Objectives: 
By completing this course, participants will be able to: 

  1. Identify major legal and regulatory frameworks impacting AI use in compliance. 
  2. Apply AI tools for monitoring regulatory changes and conducting compliance risk assessments. 
  3. Recognize and mitigate AI-related legal and ethical risks. 
  4. Develop internal AI compliance guidelines aligned with best practices and legal obligations. 
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What Will You Learn?

  • Key regulations affecting AI in compliance contexts.
  • Practical use cases for AI in compliance monitoring, risk flagging, and policy review.
  • Methods for verifying AI outputs and avoiding reliance on inaccurate data.
  • Steps to implement secure and compliant AI use in your organization.

Course Content

Welcome & Course Overview
Objectives, participation guidelines, and presenter introduction Overview of AI’s growing role in compliance and risk management

Part 1: Regulatory Landscape & Compliance Obligations
U.S. federal guidance: FTC rules on AI transparency, fairness, and bias prevention Sector-specific compliance frameworks (HIPAA, SEC, banking regulations) Global frameworks: EU AI Act compliance tiers and obligations Data privacy considerations: GDPR, CCPA, and emerging state-level rules

Part 2: AI Applications in Compliance Monitoring & Risk Management
Automated monitoring of regulatory updates AI-assisted interpretation and summarization of new rules Contract clause detection for regulatory risk Practical case study: AI-based compliance reporting in a high-risk industry

Part 3: Legal Risks & Ethical Considerations
AI hallucinations and the risk of inaccurate compliance documentation Confidentiality and privilege concerns in AI-assisted compliance work Bias, fairness, and transparency in AI-driven decisions Best practices for human oversight and validation

Part 4: Building an Internal AI Compliance Policy
Tool selection and vendor vetting Data handling and secure usage protocols Documentation, audit trails, and ongoing monitoring requirements

Q&A and Wrap-Up
Address participant questions Recap of key takeaways Next steps for integrating AI in compliance work

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