Document AI for legal teams.
Extract clauses, separate document productions, and redact at scale — without losing meaning-critical formatting.
Risk hides in the pages nobody has time to read.
Risk terms hide in exhibits and schedules
Critical obligations and risk terms are buried deep inside definitions, exhibits, and schedules within dense M&A agreements, MSAs, and DPAs.
Document dumps need manual separation
Large due diligence and discovery productions contain thousands of pages that must be manually separated into discrete, reviewable documents.
Clause wording never matches a template
Clause wording varies by counterparty, industry, deal size, and jurisdiction, so template-based extraction tools miss non-standard language.
Built for contract and case document review.
Non-standard clause detection
Non-standard clause language is flagged against approved playbook wording, with suggested redrafts, instead of manual comparison.
Structured clause extraction
Key terms, obligations, and clauses are extracted from contracts and leases, structured for review rather than buried in text.
Automated document separation
Large document productions are automatically separated into discrete, correctly classified documents, accelerating due diligence and discovery.
Scales through workload spikes
New matters, accelerating deals, and large batch submissions are handled reliably without added headcount.
Consistent, irreversible redaction
Privileged and sensitive information is redacted consistently across large document sets.
Regional pain points, handled.
European Union
GDPR governs how client and case data can be processed and stored. Guidance on AI use in legal practice varies by member state, fragmenting cross-border compliance.
United Arab Emirates(UAE)
UAE data localization requirements apply to legal and government-related documents. Bilingual Arabic/English contract review is common but poorly served by generic tools.
India
Litigation and contract volumes are digitizing quickly, but no unified national standard exists yet on AI use in legal practice.
Singapore
As a hub for arbitration and cross-border M&A, due diligence sets span multiple jurisdictions and legal systems within a single deal.
Common questions
What does Proof Perimeter do for legal document review?+
It extracts key terms, obligations, and clauses from contracts and leases, separates large due diligence and discovery productions into discrete documents, and flags non-standard clause language against your playbook.
Can Document AI detect non-standard clause language automatically?+
Yes. Clause language is compared against approved playbook wording, with suggested redrafts, instead of manual comparison across counterparties, deal sizes, and jurisdictions.
How much more accurate is Document AI than a general-purpose LLM for legal documents?+
Per internal benchmarks, Proof Perimeter's fine-tuned Document AI delivers 20% higher accuracy and 50% lower token consumption than general frontier models on document-extraction tasks like clause extraction and document classification.
Can privileged or confidential documents be processed with zero data egress?+
Yes. Enterprise deployments support zero-egress options — cloud-hosted, within your infrastructure, or fully on-premises — so privileged and confidential documents never leave your chosen boundary.
Is Bring Your Own Key free for legal teams?+
Yes. The full workspace — templates, workflows, batch processing, review, and export — is free with your own model key. You pay your model provider directly, with no platform fee or document limit.
How does Proof Perimeter handle regional legal compliance requirements?+
Deployment adapts to where you operate — GDPR controls in the EU, data localization for legal and government documents in the UAE, and support for the multi-jurisdiction document sets common in Indian litigation and Singapore-based arbitration and cross-border M&A.
How does this integrate with our existing contract lifecycle or DMS systems?+
Enterprise ships with system-of-record integration and custom workflow support, so extracted clauses and classified documents land directly in the CLM or document management system your team already uses.