AI Legal Assistant for automated contract review and compliance structuring.
Justify reads contracts the way a senior associate wishes they had time to. It ingests agreements in any common format, decomposes them into clause-level obligations, and flags deviations from your playbook standards — with citations back to the exact source text.
Built for solo counsel and small legal teams, it turns a forty-page review into a structured checklist: what changed, what is missing, what deviates, and what to push back on. Every finding is explainable, traceable, and exportable.
Splits any agreement into normalized clause types — indemnity, termination, IP assignment — mapped to your internal taxonomy.
Compares each clause against your position standards and grades the deviation: acceptable, negotiate, or walk-away.
Every observation links to the exact passage that triggered it. No black-box summaries — the evidence is always one click away.
Generates contract-grade replacement language for flagged clauses, styled to match the document's existing voice.
"Justify caught a limitation-of-liability conflict our team missed in two passes. The citation trail sold our managing partner instantly."
"It is the first legal AI tool that shows its work. Review time on NDAs dropped by roughly seventy percent in our pilot."
"The playbook grading is the killer feature. It does not just flag clauses — it tells me where they stand against our positions."
No. Documents are processed in an isolated pipeline and never used to train models. Deployments can run fully on-premise for sensitive matters.
Clause taxonomy currently covers common-law contract patterns (US/UK/EU). Civil-law playbooks are on the roadmap for later this year.
No — Justify is a first-pass accelerator. It structures and flags so that human reviewers spend their time on judgment, not page-turning.
Private beta is by referral. Include your role and contract volume when requesting access.
Conversational Operating System interface for cross-platform data orchestration.