01Input
Structured intake
Contract type, governing law, client position, risk tolerance.
AI for legal teams
Contract review, due diligence, and opinion work that survive partner scrutiny.
We rebuild legal workflows around structured intake, AI-assisted analysis, and exception-only partner review — so associates move faster without partners losing accountability.
Structured
Contract intake before AI drafting
Tiered
Associate review before partner exceptions
Traceable
Clause rationale attached to each recommendation
This page describes possible legal workflow patterns. The related breakdown is a sample simulation, not client proof.
The problem
Legal work breaks down at the input, not the output.
Most AI-for-law experiments fail because contracts get fed into a model with no intake structure, no fallback library, and no review checklist. The model improvises, partners lose trust, and the workflow stalls. Reliable legal AI starts before any prompt — at the intake.
The workflow
The operating path for legal work.
Each step has an explicit owner, a controlled AI role, and a review point before the output becomes operational.
02AI draft
AI clause analysis
First-pass comparison against the firm's fallback library.
03Review
Associate review
Tiered checklist; AI output validated before partner sees it.
04Approval
Partner exceptions
Partners review only unusual risk and final redlines.
05Delivery
Redline + rationale
Delivered with reasoning attached; matter closed in system.
Structured intake captures the facts AI needs; clause analysis runs against the firm's approved fallback library; associates validate before partners see exceptions.
What we ship
Possible workflows for legal & professional services.
- 01
Contract review and clause comparison
- 02
Due diligence summarization across data rooms
- 03
Brief and memo drafting with citations
- 04
Opinion research and precedent retrieval
- 05
Standardized client-facing reporting
Related example
A sample breakdown in this space.
Legal
Sample workflowSample legal contract review workflow
A sample legal workflow showing how messy contract requests can become structured intake, AI-assisted clause analysis, and exception-only partner review.
Sample workflow simulation. Not client data.
Contract review cycle
Messy state: Unstructured intake with unclear risk toleranceStructured state: Review packet routed by risk tier
FAQ
The questions legal leaders ask first.
- Does the model see privileged client material?
- Only inside the workflow envelope the firm controls. We design retention, redaction, and access boundaries before any model call. The intake step is where this gets enforced.
- What if the firm doesn't have a fallback clause library yet?
- Building it is part of the engagement. The library becomes the firm's operating asset — the AI workflow is just the surface that uses it.
- How do associates trust the AI output?
- They don't have to. The workflow assumes the AI output is a draft to be validated, not an answer. The tiered review checklist is what makes the result reliable, not the model.
Next step
Bring one legal workflow.
The fastest way to evaluate fit is to start with a workflow your team already knows is expensive, slow, or inconsistent.