AI for in-house legal teams: contracts, intake and compliance
Legal
Native builds AI agents for in-house legal: request intake, playbook contract review, tracked-changes redlines, obligations and compliance checks.
Where AI has an impact in legal
Request intake
Every legal request captured with the facts needed and routed to the right person.
NDA review
Incoming NDAs checked against the playbook and returned redlined.
Third-party paper
Counterparty contracts marked up with tracked changes and an explanation per edit.
Clause extraction
Key terms pulled from signed agreements into a searchable register.
- Renewal tracking
- Policy checks
- Due diligence
- Template drafting
AI helps an in-house legal team by triaging requests, reviewing routine contracts against the team's own playbook and tracking obligations, while lawyers keep every legal judgement. Native builds agents that return marked-up drafts in Word with tracked changes and comments, so counsel reviews rather than starts from scratch. Standard agreements move in hours instead of days.
Case study · A mid-market distribution company's in-house legal team
An in-house legal team moved standard contract review to agents.
Native helped a two-lawyer legal team put agents on request intake, NDA review and vendor paper. Standard agreements now come back marked up the same day, and the lawyers review rather than draft.
The challenge
Two lawyers served sales, procurement and operations across several sites. Requests arrived by email and chat with little context, and standard NDAs and vendor agreements queued for days behind deal work.What we built
- One intake form and inbox that collect the counterparty, deal value and deadline, and route each request.
- An agent that reviews NDAs and vendor paper against the team's written playbook and returns the counterparty's Word file with tracked changes and comments.
- An obligations register built from signed contracts, with reminders ahead of every renewal and notice date.
The result
Standard contracts stopped waiting, sales and procurement got answers faster, and the lawyers spent their time on negotiations and advice.Frequently asked questions
How can AI help an in-house legal team?
AI triages requests, reviews standard contracts against the team's playbook, returns tracked-changes redlines, extracts obligations and runs compliance checks. Lawyers keep every legal judgement and negotiation.
Can AI review contracts?
It can review routine contracts against positions your lawyers have written down and flag anything outside them. A lawyer reviews the markup before it goes back to the counterparty.
Is it safe to put privileged documents into AI?
It is when the agents run in your own accounts, see only the matters they are assigned, and the model provider does not train on your data. Those terms are settled before anything goes live.
Will AI redlines work in Word?
Yes. Agents can return the counterparty's own document with real tracked changes and comments, so their counsel can accept or reject each edit as usual.
