AI that does the reading, so lawyers do the lawyering.
Contract review, clause extraction, matter research, and first-draft generation — grounded in your documents, citation-checked, and built for the confidentiality and accuracy the practice of law requires.
The risk and the reward are both high.
Legal work is document-heavy, repetitive in parts, and unforgiving of errors. That makes it a perfect fit for AI — and a domain where a hallucinated citation can end a career.
We build legal AI the careful way: every output is grounded in source documents, every citation is verified against the actual text, and a lawyer reviews everything that matters. The goal is to compress the hours spent reading and first-drafting, not to remove professional judgment from the loop.
What we build for legal teams.
Contract review
Flag risky clauses, deviations from your playbook, and missing terms across a stack of agreements.
Clause + term extraction
Pull parties, dates, obligations, and renewal terms into structured data for your CLM.
Matter + document research
Ask questions across a matter's documents and get cited answers, fast.
First-draft generation
Generate first drafts from your templates and precedents — for an attorney to refine.
Due diligence
Triage data rooms: summarize, categorize, and surface red flags at speed.
Client intake + triage
Structure intake, route matters, and draft initial summaries.
We build software, not legal advice. Our tools accelerate licensed professionals; they don't replace the judgment of a qualified attorney, and every substantive output is designed for human review.
Ways to engage.
- One use case (e.g. clause extraction)
- Grounded + citation-verified
- Confidential deployment
- Multiple workflows
- CLM/DMS integration
- Citation verification + audit
- 30-day support
- New workflows + templates
- Accuracy tuning
- Model + policy updates
Extraction against your playbook — with verified citations.
Pull the clauses that matter, flag deviations from your standard, and verify every quote against the source.
clauses = extract(contract, playbook=[ "limitation_of_liability", "indemnification", "termination",])for c in clauses: c.deviation = compare(c, standard[c.kind]) c.cite = verify_quote(c.text, source=contract) # no fabricated citesCitations are checked against the actual contract text, and unsupported claims are flagged rather than presented as fact.
Built for matters that can't leak.
Deployment in your environment or an isolated tenant, no training on your data, encryption, and strict access controls.
For the most sensitive work we run open-weight models fully on your infrastructure, so privileged documents never leave your walls.
Build a legal AI toolCommon questions.
How do you handle confidentiality?
What about hallucinated citations?
Is this giving legal advice?
Can it run fully on-prem?
Which hours would you take back?
Tell us the document-heavy task eating your team's time. We'll scope an AI tool that's grounded, verifiable, and confidential.