AI agent blueprints for Legal.
Legal-operations blueprints that extract and compare evidence while reserving advice, negotiation, and legal decisions for counsel. Each pattern defines the evidence it reads, the artifacts it produces, the authority it may exercise, and the human who makes the consequential decision.
Commercial legal, privacy, legal operations, and matter-management teams
qualified legal reviewer
private · read/propose · human-gated
Nine jobs with a crisp acceptance test.
These are implementation patterns, not generic “AI for Legal” pages. Open one to see its exact trigger, topology, grants, approval boundary, failure modes, and KPI.
Contract intake triage
Normalize a contract request, identify document and owner gaps, and route it under the approved legal intake policy.
time to correct legal assignment
NDA deviation review
Compare an NDA with an approved template and prepare a clause-level deviation packet for counsel.
NDA review cycle time
Contract clause extraction
Extract specified clauses and attributes with source locations and confidence for a legal reviewer to verify.
verified extraction accuracy
Data processing agreement review
Map a proposed DPA to approved privacy positions and data-flow evidence and prepare issues for privacy counsel.
DPA unresolved issue age
Contract renewal and obligation tracking
Extract reviewed dates and obligations into an owner-assigned action packet without changing the legal system of record.
missed reviewed notice windows
Legal hold intake
Organize an approved hold matter into custodians, systems, date ranges, and unresolved scoping questions for counsel.
hold packet preparation time
Legal policy change impact review
Compare approved policy versions and map changed obligations to owners, documents, and open legal questions.
unassigned legal change actions
Outside counsel invoice review
Compare invoice lines with approved engagement and billing guidance and prepare exceptions for legal operations.
legal invoice review time
Legal matter status summary
Consolidate approved matter activity, deadlines, decisions, and open questions into a counsel-reviewed status packet.
matter status preparation time
The workflow is autonomous. The authority is not.
- 01
Attach evidence
Put only this case’s approved inputs in a scoped workspace.
- 02
Run specialists
Each bounded node produces an artifact the next node can challenge.
- 03
Stop at proposal
External writes stay outside the agent’s default authority.
- 04
Record the decision
Keep the human approval as a decision record beside the signed evidence from the agent run.
Pick one expensive, inspectable job.
Start with real evidence, a named decision owner, and a measurable result. Expand the agent only after the receipt and acceptance test prove the workflow holds.