Automate the packet, not the judgment
Contract review preparation can save time when the work is source collection, clause extraction, comparison to approved templates, and issue packaging. OpenAI enterprise privacy commitments and Microsoft 365 Copilot privacy and data controls are useful references for enterprise AI controls, but operations teams still need workflow rules before contract material is summarized.
The first workflow should collect documents, identify missing attachments, summarize non-standard clauses, and route issues to the right reviewer. It should not approve terms, interpret legal obligations, or negotiate language.
Use the knowledge-management contract review guide as the adjacent pattern.
Keep source traceability intact
CISA AI Data Security Best Practices applies because contract packets can include customer data, pricing, security terms, and confidential business context. The workflow should preserve document names, versions, clause locations, and reviewer notes.
Operations teams should define what the AI may summarize and what must be escalated. Indemnity, data processing, security commitments, pricing exceptions, and termination rights are examples of areas that usually need specialist review.
If the workflow cannot point to the clause, it should not make the claim.
Measure review preparation, not legal replacement
NIST AI Risk Management Framework provides the right production loop for this use case: map context, measure risk, and manage controls. Measure intake completeness, time to prepare the packet, reviewer corrections, unresolved issues, and contract cycle movement.
The business case is faster preparation and cleaner routing. Legal and commercial owners still make the decision.
Use a 90-day AI implementation plan to sequence the workflow safely.
