Contract review is a bottleneck.
Your team reviews the same clauses across hundreds of agreements every quarter. Manual review doesn't scale and consistency suffers.
AI for legal operations teams.
From contract review to discovery workflows — we clean your matter data and automate the work that pulls your team away from substantive practice. Built for mid-size firms and in-house legal teams that need AI to be accurate, not just fast.
The compliance work that shouldn't take this long.
Discovery is expensive and slow.
Document review eats partner hours that should go to strategy. Off-the-shelf eDiscovery tools handle volume but miss nuance.
Matter data is fragmented.
Time entries, document management, billing, and matter management all live in different systems. Reporting is a manual rebuild every month.
Three things that make AI actually work in legal operations.
Data Foundation
We consolidate matter data, document management systems, time entries, and billing into a structured, queryable dataset. Clean data is the prerequisite for everything else.
Workflow Automation
Automated contract review, clause extraction, document classification, and matter reporting. Built around your practice areas, not on top of generic legal AI tools.
Managed AI Operations
We maintain accuracy as your practice evolves and case law shifts. New workflows added quarterly. Privilege protected throughout.
Three calls. No procurement theater.
Discovery call (30 min)
We learn your compliance workflow and identify where AI actually helps — and where it doesn't.
Scoping call (60 min)
We come back with a fixed-price proposal, clear deliverables, and a validation plan.
Build and handover
Working automation, full documentation, validation evidence. You own everything.
How we helped a 40-attorney firm cut NDA review from 90 minutes to 8.
[Client] reviews 60+ inbound NDAs per month across multiple practice areas. Associates spent 60-90 minutes per NDA, and consistency varied across reviewers.
We built a clause extraction and risk-flagging workflow trained on the firm's historical markups and approval patterns. Associates now review flagged deviations against firm standards instead of reading from scratch. Average review time dropped to 8 minutes. Consistency across reviewers improved.
Questions legal ops teams ask us.
Will this work with our DMS?
We integrate with iManage, NetDocuments, SharePoint, and most modern document management systems.
What about privilege?
Every workflow we build runs within your infrastructure. Privileged data doesn't leave your environment. We sign confidentiality agreements before discovery.
Will associates lose hours?
Usually no — the work shifts from review to higher-value analysis. We'll walk you through the practical impact in the discovery call.
Is this just a wrapper around ChatGPT?
No. We build on Claude, GPT, and open-source models depending on the task. We'll explain the stack in the scoping call.
What about hallucinations?
Every workflow includes confidence scoring, citation, and human-in-the-loop review for anything consequential.
What we won't do.
We won't sell you AI you don't need. If your problem is a process problem, we'll tell you. If your data is too thin to train on, we'll tell you. We make money when we build things that work — not when we sell things that don't.
Find out if we can help.
A 30-minute call. No pitch deck. We'll tell you whether your problem is worth solving with AI — and whether we're the right team to solve it.