Legal document intake
Prepare contracts, amendments, policies, correspondence and audit evidence for processing, with document identity and matter ownership retained.
Legal document AI with RAG and OCR
AI for legal document processing and search.
Extract contract clauses, search approved legal knowledge and prepare cited review packs, with your legal team in control.
BlueMouse.ai builds RAG and OCR workflows for law firms, in-house legal teams and compliance specialists. Turn PDFs, scanned agreements, amendments and policies into searchable text and structured records. Retrieve supporting passages and organise review tasks without handing legal judgment to a language model.
Clauseextraction from agreements and scans
Sourcecitations for review and verification
Accessmatter and team permission controls
Counselreviews substantive conclusions
Legal document processing
From scanned contracts to structured terms and cited answers.
Combine OCR document processing with enterprise RAG to support contract intake, clause extraction, policy comparison and legal document search. Agree the document types, extraction checklist and review rules before extending the workflow.
Contract clause extraction
Use OCR and document parsing to capture agreed fields such as parties, dates, renewal terms, notice periods and clauses, with references to their source pages.
Validation and exceptions
Check extraction against the agreed schema, required fields and date rules. Route unreadable text, missing schedules and uncertain values to the reviewer.
Legal document search
Retrieve passages from approved contracts, policies, playbooks and precedents. Show the document and supporting text beside a draft answer or comparison.
Evidence-linked review packs
Configure the outputs your team needs: a clause schedule, obligation register, missing-term list or draft issue summary, ready for an assigned expert to check.
Expert review and control
Design matter or team permissions, source-version records and approval steps into the workflow. Substantive conclusions and consequential actions remain subject to expert review.
Source governance
Make the source, version and review boundary explicit.
A relevant passage is not automatically an applicable one. Configure legal retrieval around the sources, jurisdictions, document versions and review rules your experts approve. Citations support verification; they do not establish legal correctness on their own.
Reviewer-defined source priorities
Agree which statutes, judgments, guidance, internal precedents and commentary the workflow may use, and how it should distinguish them. Source priorities depend on the jurisdiction and question; conflicts or gaps are flagged for the legal reviewer rather than resolved by an assumed universal hierarchy.
Review the version that matters
Preserve document version, jurisdiction and effective-date metadata where it is available. Define filters against the matter date or policy period and flag missing metadata before a reviewer relies on a passage.
Explore hybrid search for legal RAGA focused first engagement
Start with contract intake and clause extraction.
Choose one agreement type, an extraction checklist and a named legal reviewer. A scoped pilot can turn scanned contracts into a structured record of parties, dates and agreed clauses, then retrieve relevant passages from an approved playbook. The review pack brings together original text, extracted terms, exceptions and source references.
Agree how to check extraction quality, citation support, access boundaries and missing-information handling before expanding to obligation tracking or policy comparison. Use controlled AI agents to prepare or route review tasks only where they add value; they do not approve legal conclusions.
For confidentiality, an initial discussion can use synthetic or redacted documents. Agree authorised data access, retention and security controls before sharing live matter material.
Legal document AI assessment
Scope a legal document workflow around your team's review needs.
Tell us which agreements or policies you process, the terms you need to extract and how your team checks the result. We will help define a focused RAG and OCR pilot without requiring confidential matter files for the first conversation.