Contract-aware AI gating is the practice of reading AI-use restrictions out of signed agreements and enforcing them automatically on the underlying files, sites and mailboxes belonging to that counterparty. Today, two halves of this exist separately: contract tools that extract the clause, and data platforms that enforce a block. Nothing joins them.

The enforcement half exists and is genuinely good

Microsoft 365 Purview DLP supports a Copilot policy location that prevents processing of matching content — applying to Word, Excel and PowerPoint files regardless of storage location. Google Workspace has an analogous story through its own DLP controls.

The problem: enforcement is label-first, not clause-aware

Every control keys off a classification tag on the file. The system reads the label, never the contract. Three failure modes follow: auto-labelling looks at the file content not the MSA; there is no concept of a counterparty; and labels don't expire when contracts do.

What a joined-up system would actually do

Extract AI-use clauses from executed agreements; resolve each counterparty to its actual artefacts; apply the classification that triggers the existing block; and produce an evidence report joining clause to control to audit log on demand — because a screenshot of a policy is not evidence.

Why the sequencing is genuinely difficult

Clause extraction is not deterministic. it produces candidates for legal review, not decisions. Counterparty resolution is messy, the same client appears as three legal entity names and a Teams channel named after a project.

Where to start

Begin with the restrictions you already know about. Enforce those properly end to end, including the evidence report. The first version does not need to be automated.