Upload your contract
Behind the scenes: clause classification, legal entity recognition (NER), similarity to your playbooks, and short, traceable briefs. The outcome is practical—what it is, whether it’s acceptable, and what to do next.
Consistent results across varied templates and formats.
Supply a contract; AI interprets the language; you receive structured findings and concise briefs.
Phase one: normalize text from PDFs/scans, segment sections, and detect clause boundaries.
Phase two: classify clauses (termination, indemnity, confidentiality, governing law) and recognize entities (parties, amounts, dates, jurisdictions).
Phase three: compare to your playbooks, summarize positions, and highlight risks with short rationales and references.
Detect sections and clause types with models tuned for legal text.
Pull parties, dates, amounts, jurisdictions, and obligations reliably.
Readable summaries with policy fit and suggested next steps.
Encryption, access controls, auditability, and optional zero‑retention protect sensitive agreements.
Secure connections, encryption at rest, and short‑lived processing.
Role‑based access, SSO/SAML, and audit trails for enterprise needs.
Regional data residency and configurable retention policies.
Consistent clause classification, entity extraction, and brief generation across templates.
Alignment to your playbooks with similarity search and rule checks.
Portfolio search and cohort views for renewals, obligations, and exceptions.
Readable summaries stakeholders actually use.
Answers to common questions about AI models, accuracy, and data security for contracts.
Accuracy depends on your taxonomy and examples. We measure precision/recall by clause and entity, and include human‑in‑the‑loop controls to keep quality high.
Yes. We normalize scanned and multi‑page documents before analysis.
Findings align to your clause library and policy rules with similarity search and checks.
Encryption, short‑lived processing, role‑based access, and retention controls are standard.
