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AI for Legal

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.

Build a Legal AI ToolTalk to an Engineer
Document grounding · citation verification · confidentiality-first · human-in-the-loop

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.

Review

Contract review

Flag risky clauses, deviations from your playbook, and missing terms across a stack of agreements.

Extraction

Clause + term extraction

Pull parties, dates, obligations, and renewal terms into structured data for your CLM.

Research

Matter + document research

Ask questions across a matter's documents and get cited answers, fast.

Drafting

First-draft generation

Generate first drafts from your templates and precedents — for an attorney to refine.

Diligence

Due diligence

Triage data rooms: summarize, categorize, and surface red flags at speed.

Intake

Client intake + triage

Structure intake, route matters, and draft initial summaries.

Important

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.

Pilot Tool
3–5 weeks
  • One use case (e.g. clause extraction)
  • Grounded + citation-verified
  • Confidential deployment
Start a Pilot
Legal AI Suite
8–12 weeks
  • Multiple workflows
  • CLM/DMS integration
  • Citation verification + audit
  • 30-day support
Plan a Suite
Ongoing
monthly
  • New workflows + templates
  • Accuracy tuning
  • Model + policy updates
Discuss Operations
Show, don't tell

Extraction against your playbook — with verified citations.

Pull the clauses that matter, flag deviations from your standard, and verify every quote against the source.

review.pypython
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 cites
Review (attorney verifies)
⚠ Limitation of liability — uncapped (deviates)
✓ Termination — 30-day notice, standard [§9.2]
✓ Indemnification — mutual [§7.1]

Citations are checked against the actual contract text, and unsupported claims are flagged rather than presented as fact.

Confidentiality-first

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 tool

Common questions.

How do you handle confidentiality?
Confidentiality-first architecture: deployment in your environment or an isolated tenant, no training on your data, encryption, and strict access controls. For the most sensitive matters we deploy private, self-hosted models.
What about hallucinated citations?
Every citation is verified against the actual source text before it's shown. Unsupported claims are flagged or refused rather than presented as fact.
Is this giving legal advice?
No. These are productivity tools for licensed professionals. Outputs are grounded drafts and analyses for attorney review, not advice to end clients.
Can it run fully on-prem?
Yes — for firms with strict data requirements we deploy open-weight models entirely within your infrastructure.

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.

Build a Legal AI ToolBook a Call