These use cases are often assistive rather than autonomous because errors can have material consequences.
Document review support
Classify documents, extract defined clauses and create issue lists for qualified review.
Contract analysis
Compare terms against an approved playbook and surface deviations. The system should support, not replace, legal judgment.
Policy monitoring
Track changes across approved regulatory or policy sources and route potentially relevant changes to the responsible owner.
Evidence gathering
Organise documents, correspondence and case material into a traceable evidence set.
Compliance workflow support
Draft checklists, capture evidence status and route exceptions while preserving accountable approvals.
Controls to design early
- approved source boundaries;
- audit trail;
- permissions;
- citation/provenance;
- human sign-off;
- retention and deletion;
- escalation for uncertain output.
Do not market an AI workflow as legal or regulatory advice unless the delivery model, qualifications and applicable rules support that claim.
