Software for firms that bill judgment, not reading time
A law firm's margin lives in senior judgment — and leaks through first-pass reading, status chasing and re-keyed intake. We build contract review AI tuned on your own playbook, document intelligence for diligence, and matter workflows that give the hours back. Privilege and confidentiality are architecture requirements from milestone one.
Systems we build for legal services
Each one starts with the same question — which hours does this give back to billable work — and ends with software running inside the firm. A representative list, not a boundary — if the system you need isn't on it, we build that too.
Contract review AI
First-pass review tuned on your firm's own playbook — deviations flagged, fallback language suggested, and every low-confidence clause routed to human counsel instead of guessed at.
Document intelligence for due diligence
Classification, extraction and cross-referencing across data rooms of thousands of documents — so associates review what the system surfaced, not everything it ingested.
Matter workflows
Deadlines, approvals, status and handoffs in one system — so partners bill judgment instead of chasing where a matter stands over email.
Precedent & knowledge systems
The positions your firm has already taken, searchable and grounded — instead of locked in inboxes and re-derived in every negotiation.
Client intake & conflicts
Engagement letters, conflict checks and client verification in a single flow — measured in hours, not the week it takes across shared drives.
Billing & narrative automation
Time capture to invoice narrative without the month-end scramble — with a human approving what goes out, not assembling it.
Where a firm's hours actually leak
The diagnosis phase maps these in your firm specifically — with numbers. These are the patterns we find most often.
First-pass reading
Senior lawyers reading page one to signature on documents where most clauses are standard. The expensive judgment is needed on the deviations — not on finding them.
Status chasing
Partners spending billable hours asking where matters stand. When status lives in a system instead of in people's heads, that time goes back to client work.
Re-derived knowledge
Every negotiation reconstructs positions the firm has already taken elsewhere. Precedent that isn't findable might as well not exist.
Data-room drudgery
Due diligence staffed as a reading marathon. Associates burn out on classification work a system does better — and misses less of.
How we work with law firms
The same four phases as every engagement — with the evaluation discipline legal AI demands. You can stop after any phase and keep everything produced.
See the full process →- 1
We sit with partners and practice managers and map where hours actually go — review, status, intake, diligence. If the honest answer is a process change rather than software, we say so.
- 2
Scope, milestones, cost — and the metric the system answers to, usually first-pass review time or hours per matter. The estimate holds; overruns are ours.
- 3
For AI systems, we build the evaluation harness from your own past documents before rollout — the model is measured against your lawyers' judgment, not a demo dataset. Weekly demos throughout.
- 4
Monitoring, documentation and a 90-day warranty ship with the system. Then a retainer, or a clean handover to your IT team — including hiring help.
A law firm first-passes every commercial contract through a model tuned on its own playbook
A 40-lawyer practice. Lawyers now review flagged clauses instead of reading page one to signature, with confidence-based routing to human counsel. Delivered in four milestones over five months, on the signed estimate.
Read the case study →Common questions from firms
Where does our clients' data go?
Nowhere you haven't approved. Systems deploy inside your boundary, your documents are never used to train shared models, and access control mirrors your matter permissions — privilege is an architecture requirement, not a policy footnote.
How is the model grounded in our playbook?
On your firm's own precedents and negotiated positions. Before rollout we build an evaluation harness from your past documents, so accuracy is measured against your lawyers' actual judgment — not against a vendor benchmark.
What happens on a clause the model isn't sure about?
It escalates instead of guessing. Confidence-based routing sends low-confidence clauses to human counsel with the context attached — the system's job is to remove the reading, not the judgment.
Will our lawyers actually use it?
Only if it lives inside their existing workflow — which is why we build into the tools your firm already uses rather than adding another login. And honestly: a third of the time our diagnosis says the workflow problem isn't software at all.
How long does a system like this take?
The contract-review engagement in our case study shipped in four milestones over five months, on the signed estimate. First working software reaches you in week two either way.
Which engagement model fits a law firm?
A bounded system — review AI, intake, diligence tooling — fits per-project; a firm digitising practice by practice fits a dedicated team. We'll recommend one in the diagnosis.
Thirty minutes with an engineer who has shipped inside a law firm.
An honest read on where your hours leak — including "don't build this."