AI for legal
AI for in-house legal teams: contracts, intake and compliance
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.
Featuring insights fromShaun Devan · Founder & CEOUpdated · 3 min read
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
Notice periods and renewal dates watched, with reminders sent in time to act.
Policy checks
Documents and processes checked against written policies, with gaps listed.
Due diligence
Large document sets read and summarised against a checklist for the deal team.
Template drafting
First drafts assembled from approved templates and the deal facts.
Why legal becomes the bottleneck
A small legal team serves the whole company. NDAs, vendor agreements, order forms and data processing addenda arrive by email and chat with no context, and each one waits its turn. Most are standard, and the review is a comparison against positions the team has already taken many times.
That comparison is work an agent can do. Lawyers set the playbook, review the markup and handle the negotiations and novel questions.
| Work | Agents | Legal team |
|---|---|---|
| Request intake | Collect the details, classify the request and route it | Set priorities |
| Standard contract review | Compare against the playbook and redline in tracked changes | Review, adjust and approve |
| Non-standard terms | Flag the clause and explain the deviation | Negotiate and decide |
| Obligations and renewals | Extract dates and duties into a register and send reminders | Act on them |
| Compliance checks | Check documents and processes against written policy | Interpret and advise |
Where to start
- NDAs and other standard paper. High volume, a clear playbook and low risk, so the team can trust the agent quickly.
- A single intake point. Every request arrives through one form or inbox with the facts the lawyer needs.
- Third-party paper review. Their Word document returned with tracked changes and a comment explaining each edit.
- An obligations register. Renewal dates, notice periods and commitments pulled from the signed contracts you already hold.
Lawyers stay in charge of the law
Agents do not give legal advice and never sign or send on the team's behalf. They apply positions your lawyers wrote, cite the clause behind every flag and mark anything outside the playbook for review. Privileged material stays in your own systems, and agents see only the matters they are assigned.
Redlines come back as real tracked changes inside the counterparty's own document, so their counsel can accept or reject each edit in Word. Agents also work with contract tools such as Ironclad, DocuSign CLM or a shared drive, and with Microsoft 365 or Google Workspace.
What an engagement looks like
We start by writing the playbook down: the clauses you always accept, the fallbacks you allow and the ones you never sign. A month of past requests shows where time goes. The first agent, usually NDA review, is live within weeks, and within months intake, standard contracts and obligations all run with agents. Your team can update the playbook themselves.
How to measure it
- Turnaround from request to signed for standard agreements
- Share of contracts that need no lawyer edits after the agent's markup
- Requests waiting at the end of each week
- Missed renewals and notice dates
- Lawyer hours spent on advisory versus routine review
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.