AI transformation for law firms and in-house legal teams
Legal
Native puts AI agents into intake, conflicts, document review, contract work and billing for law firms and legal departments, with lawyers deciding.
Where AI has an impact in legal
Matter intake
Inquiries turned into a complete intake record with parties, facts and documents attached.
Conflict checks
Every party and affiliate searched, with near matches explained for the conflicts team.
Contract playbook review
Counterparty drafts compared against the firm's or company's standard positions, deviation by deviation.
Document review
Large sets sorted and summarised with page citations, ahead of lawyer review.
- Due diligence
- Billing guideline checks
- Knowledge search
- Legal department triage
Native helps law firms and in-house legal departments put AI agents into the operational work around legal practice: intake, conflict checks, document review, first-pass contract work and billing. Lawyers keep every judgement and every word of advice. The first agent typically runs in production within weeks, inside the systems the firm already uses.
Case study · A mid-sized commercial law firm
A commercial law firm cut the time to open a matter and stopped losing fees to billing rejections.
Native helped a mid-sized commercial firm put agents on new matter intake, conflict checks and pre-bill review. Matters open in a day instead of most of a week, and invoices go out already checked against each client's billing guidelines.
The challenge
Intake ran through email and a shared spreadsheet, and the conflicts team re-keyed every party by hand. Several corporate clients rejected invoices over time entries that broke their billing rules, and partners spent evenings rewriting narratives before each bill run.What we built
- An intake agent that turns each inquiry into a complete record, runs every party through the conflicts database and explains near matches for the conflicts team to clear.
- A pre-bill agent that checks every time entry against the client's guidelines and drafts a compliant narrative for the timekeeper to accept.
- A record of every check, so the firm can show any client how an entry was reviewed.
The result
New matters opened faster, the conflicts team stopped re-keying, and partners got their evenings back at the end of each billing cycle.Frequently asked questions
How are law firms using AI?
For the operational work around practice: intake, conflict checks, document review, contract comparison against a playbook, due diligence and billing review. Lawyers review the output and make every legal judgement.
Can AI give legal advice?
No. Agents prepare and check work for lawyers; they do not advise clients. Every output goes to a lawyer, with the source of each point cited so it can be verified.
Is it safe to use AI with confidential client documents?
It can be, when documents stay in the firm's own systems and accounts, each agent sees only the matters it works on, nothing is used to train a model, and every action is logged.
What should a law firm automate first with AI?
Usually intake and conflicts, or pre-bill review. Both are high volume, follow written rules and show their impact within weeks without touching legal judgement.
What ethics rules apply to lawyers using AI?
In the US, the ABA's Formal Opinion 512 covers competence, confidentiality, supervision, communication and fees when lawyers use generative AI, and many state bars have issued their own guidance.
