Use cases / Risk, legal and compliance
AI Legal
Faster first-pass review, with lawyers deciding.
01
Problem
Legal teams read the same clause patterns repeatedly. Privileged material cannot be sent to unmanaged tools.
02
AI capability
Extract and compare clauses against playbooks, summarize obligations, flag deviations and draft redlines for review.
03
Data
The agent works from the context you connect, not from the open internet by default.
- Contracts and templates
- Clause playbooks
- Matter files (permission-scoped)
- Obligation registers
04
Agent
Legal Review Agent
Performs first-pass clause review and drafts suggested redlines.
05
Workflow
- 1. Contract received
- 2. Extract clauses
- 3. Compare with playbook
- 4. Flag deviations
- 5. Draft redlines
- 6. Lawyer review
- 7. Update obligations register
06
Governance
Governance runs inside the agent at runtime: policy changes what it can actually do.
Can
- Read contracts in assigned matters
- Compare to playbooks
- Draft redlines and summaries
- Cite clauses
Cannot
- Send anything to a counterparty
- Access other matters
- Provide final legal advice
- Use unapproved models on privileged files
Requires approval
- Any outbound redline
- Deviation from playbook
- Cross-matter access
Records
Agent identity, Data accessed, Model used, Output, Tools called, Policy applied, Decision, Approval, Action, Outcome.
Suggested starting autonomy: L1 Assist
Start at L1: the agent recommends and drafts, a lawyer owns every conclusion.
07
Outcome
What you measure, so the agent earns more autonomy on evidence:
- Time to first-pass review
- Deviations caught versus playbook
- Lawyer edit rate on drafts
- Obligations tracked
Questions
Is the output legal advice?
No. It is draft analysis for a qualified lawyer to review and own.
How is privilege protected?
Access is scoped per matter and models are limited to those approved for privileged data.
Build it on the platform
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