Evaluating AI Vendor Agreements

Artificial Intelligence (AI) is transforming industries, presenting unique legal, compliance, and ethical challenges. This course will teach practitioners how to identify potential risks associated with AI implementation, map use cases by risk level, and mitigate risks by appropriately evaluating and negotiating AI vendor agreements. 

Attendees will briefly cover how foundation AI models work. Participants will explore how these AI models are implemented and used in businesses as well as the primary risks associated with using AI. Attorneys will cover topics such as data privacy, intellectual property, and other laws intersecting with AI. Ultimately, this program will address key provisions in AI vendor agreements.

This course is geared towards in-house counsel, but will be equally valuable to an attorney asked to review an AI vendor agreement for their client or their law firm. It is suitable for attorneys with moderate to extensive experience.

Learning Objectives: 

1. Understand what a foundation model is, including Large Language Models (LLMs), and how they use data for training purposes.
2. Identify common use cases (or business purposes) for AI.
3. Evaluate the primary risks associated with common AI use cases and how to map them.
4. Examine how data privacy laws apply to AI.
5. Understand how intellectual property laws apply to AI.
6. Assess how other laws (e.g., consumer protection, recording consent, export controls) apply to AI.
7. Analyze key provisions in AI vendor agreements (e.g., licenses to inputs or prompts, data retention and sharing, indemnification). 

Production Date: 5/30/2025 | Closed captioning (CC) available