Almost every legal team has decided. Very few have deployed.
The savings are well documented. What holds most teams back is simpler: nobody wants to be the one who sent privileged work somewhere it shouldn't have gone. We build AI that stays inside your walls.
Contract review · Master Services Agreement
Illustration- Extract key terms from MSA_Northwind_v4.docx
- Check the indemnity clause against your playbook
- Flag the liability cap below the $2M threshold
- Draft a redline for partner review
Except for obligations under Section 9, each party's aggregate liability shall not exceed the fees paid in the twelve (12) months preceding the claim.
The case has been made. The trust hasn't.
Legal departments are moving from manual oversight to AI-assisted contract work — pushed by rising volumes and steady pressure to spend less on outside counsel.
of legal teams not yet using AI for contracts now plan to adopt it
95%average time saved on legal review with contract automation
37%average cost saved — mostly less outside counsel and manual work
29%higher return from end-to-end tools than from a patchwork of point solutions
~30%Source: Deloitte, 2026 global survey
Three reasons good teams are still waiting.
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Every agreement waits in the same small queue. Deals slow down, the business starts routing around legal, and the team's best hours go to reading rather than judgement.
We take the repeatable first pass off your desk — clause extraction and routine review — so people spend their time on the calls only they can make. -
Pasting a draft into a public AI tool feels harmless. It isn't. Privacy, privilege and compliance can all be lost in a single upload — and unlike most mistakes, it can't be undone.
We build private environments where your documents never leave your control, so the question of where the data went simply never comes up. -
The business wants tighter governance, lower costs and less reliance on outside counsel — all at once. Those pull in different directions, and the legal team absorbs the strain.
We start with an honest audit of where AI will genuinely save money, before anyone spends any.
Automate the repeatable work. Govern everything else absolutely.
Start where the volume is — routine contract review, clause extraction — rather than an enterprise-wide overhaul that takes two years and pleases no one.
And treat governance as the point, not a box to tick. A policy tells people what not to do. A private, auditable environment makes it impossible — and where one upload can waive privilege, only the second one counts.
Built so nothing leaves the building.
In legal work, the technology has to answer for itself. Everything we build is private, auditable, and checked by a person before anything goes out.
Runs in an environment you control, including hybrid set-ups.
Every model call, edit and decision is recorded.
Nothing goes out without a person approving it.
Unvetted tools are blocked by design, not by memo.
That approval inbox isn't a mock-up. It's a real screen from αControl, our governance layer. When an AI action touches something sensitive, it stops and waits for a person to say yes.
See αControl →
Accountable by default.
- 01Compliant AI infrastructureSecure, audited environments for using AI on your own legal library, without anything leaking out.The technology →
- 02Governance you can show an auditorAudit trails and security architecture built for high-stakes work.The technology →
- 03The diagnostic auditFind out exactly where AI will pay for itself, before any money is spent.Start here →
We'd rather build this with you than guess at it.
There's no case study on this page yet, because there's no production deployment yet. The research is clear and the architecture isn't speculative — but we won't dress a plan up as proof. If these problems are yours, let's talk.