Contract Governance

Contract governance refers to the policies, processes, and controls that organizations use to manage the terms, obligations, and risks written into their vendor, licensing, and customer agreements. In the AI context, it covers how contracts address data use, model training rights, liability for AI-generated errors, audit access, and notice obligations when a provider changes a model or its terms. Strong contract governance matters because many AI risks, from who owns outputs to whether a vendor can train on company data, are settled in agreement language long before any regulator or court gets involved.

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Corporate PolicyGlobal2026-10-22

Mayer Brown Maps the Agentic AI Contract Gap Procurement Teams Must Close

Mayer Brown published guidance identifying contract provisions that enterprise procurement and legal teams need for agentic AI deployments. The guidance covers autonomy limits, human approval requirements, plugin and third-party tool liability, incident response obligations, and the right to shut down an AI agent. Most existing vendor agreements predate agentic systems and lack these terms.

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