Member-Only Course
Learn How to Draft Contracts for AI Products
AI Contract Essentials is a 2-hour course taught by Laura Frederick and designed to help lawyers and professionals understand how to draft and negotiate AI product contracts. You'll learn how to spot risks specific to AI products and advise your team or client on operational strategies.
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Module 1
What's Different About AI Contracts?
Learn how probabilistic AI tools require different contract strategies, including performance standards, risk allocation, SLA categories, and handling updates.
Module 2
Customer Data
Explore the five data types in AI contracts, managing your permissions for training use, and matching data restrictions to the data type and use case.
Module 3
Intellectual Property
Dive into IP ownership versus licensing rights, protecting customer inputs and prompts, avoiding hidden IP traps in boilerplate, and preventing model lock-in rights.
Module 4
Compliance and Governance
Learn to assess AI compliance obligations, establish governance roles, manage regulatory risk through audit rights, and align compliance structures with business impact.
Module 5
Data Security
Navigate data security for different systems and data types, restrict model reuse, implement encryption and access controls, and create breach response plans.
Module 6
Support and Operations
Go beyond traditional SLAs to manage model degradation, define shared responsibilities, and handle prompt design, drift, and technical documentation.
Module 6
Indemnity, LOL, and Warranties
Navigate warranty limitations for unpredictable outputs, address indemnification gaps in AI contracts, structure liability caps, and coordinate risk allocation for AI product deals.
Module 8
Customer-Facing Terms
Learn how to draft customer-facing AI documents, addressing DPA updates, terms of service modifications, and acceptable use policy expansions for AI-specific risks.







