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AI Contracts Training Hub

Learn how to draft and negotiate contract provisions for AI features and products. You can also get up to speed on the latest AI contract tools.

Join today for access to our AI contract training and resources

We are all in on AI contracting in 2025 with the most resources and tools going into our AI Contracts Training Library. We also are launching a webinar series called AI Contracts Explained. While some training will be publicly available, the complete set will only be available to our members. Gain skills and confidence to work on AI contracts, by signing up today for you and your team to be How to Contract members. 

Find Out More About AI Training Resources in Our Membership

Download our quick guide

This 8-page guide provides  pro-vendor template provision and pro-customer edits for IP ownership provisions in AI agent contracts. Use this guide to ensure that you are covering key edits and concepts. This guide covers core considerations such as ownership of AI-generated content, training data rights, derivative works, and model improvements. It enables legal professionals to structure AI-related IP provisions clearly, enforceably, and effectively.

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Watch AI Contracts Explained Webinars

We are launching a new webinar series to help lawyers and teams who already know contracts learn the specifics of AI contract drafting and tools.  Each episode will feature AI contract experts doing a deep dive into the practical realities lawyers and contract teams need to know.

Learn More About the AI Contracts Explained Webinar

Watch these short training videos

Who Owns an AI Product's Output?

Tiffany Bui LeTourneau dives into who owns what AI creates. While many AI programs say users own their creations, the real question is can you? Tiffany shares a recent U.S. Copyright Office ruling where AI-generated images didn't get copyright protection due to insufficient human authorship and unpredictable results. She explains how tools like Photoshop are predictable, To get copyright protection, Tiffany emphasizes that human authorship is key, AI can't dominate the output, and you must disclose AI use. Tiffany wraps up by urging companies using AI in code generation to think about protecting their products.

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Why Accuracy Is a Challenge With AI Contracts

Amanda Merced discusses the challenges people face with AI use cases, particularly around understanding risk and accuracy. Amanda highlights how AI often enhances services similar to human capabilities, aiming to make quicker decisions or replace human roles. The tension in negotiations about accuracy levels between AI companies, who see themselves as just software, and customers who expect AI to match human precision. 

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Responding to "You Can't Use My Data With AI"

In this quick video, Kevin Keller (dressed as Ebeneezer Scrooge) discusses how to respond to customers who object to their data being used with AI. He emphasizes the need for a compromise and suggests negotiating terms to ensure data can be used responsibly, such as de-identifying data to improve AI models. This approach aims to enhance services and achieve higher accuracy while addressing customer concerns.

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