Legal inputs
Work with contracts, amendments, policies, regulatory material, correspondence, audit evidence, and approved internal precedents.
Legal and compliance document AI
Extract contract terms and obligations, retrieve approved policies and precedents with citations, and prepare review work without replacing expert judgment.
OCR turns contracts, policies, correspondence, and scanned evidence into structured legal data. Validation flags uncertain or missing fields, RAG retrieves relevant approved material, and a controlled AI agent assembles a review packet for counsel or compliance specialists.
Governed review workflow
Combine OCR document processing with enterprise RAG to prepare legal and compliance work with visible sources, permissions, and review points.
Work with contracts, amendments, policies, regulatory material, correspondence, audit evidence, and approved internal precedents.
Capture parties, effective dates, renewal terms, notice periods, governing law, configured clauses, obligations, and signature details.
Check required provisions, date logic, field confidence, referenced schedules, and document completeness. Flag uncertainty for expert review.
Search only approved policies, playbooks, standards, or precedents and present the supporting passages beside the answer or comparison.
Produce a clause schedule, obligation register, missing-term list, cited policy comparison, and draft issue summary for the assigned expert.
Apply matter or team permissions, record source and version details, and require counsel or compliance owners to approve substantive conclusions and actions.
Authority and version
Legal retrieval fails in ways that look like success: a fluent answer built on commentary, or on a version of a statute that no longer applies. The workflow orders sources by authority and pins them to the date that matters.
Statute and regulation outrank case law, which outranks official guidance, which outranks commentary. A relevant textbook passage cannot displace the primary source currently governing the point, and the review memo shows which tier each citation comes from.
Every statutory passage carries the version it belongs to and the dates it was in force. Retrieval filters on the matter date before ranking, so a tenancy question is answered from the law that applied to that tenancy, not from the current text by default.
Read how hybrid search and version filtering work togetherSuitable first use case
Select one agreement type with an agreed clause checklist and a named expert reviewer. OCR creates the structured contract record, validation flags missing or uncertain information, and RAG compares the document with approved internal guidance. The reviewer receives the original text, extracted terms, exceptions, and citations in one packet.
This bounded start establishes extraction quality, source permissions, and review rules before expanding into obligation tracking, policy comparison, or audit evidence. For the retrieval design behind cited answers on legal text, read why legal RAG needs hybrid search. Learn how controlled AI agents route work, or explore more industry document AI workflows.
Governed document review
Bring a representative agreement set, extraction checklist, approved reference sources, and review path for a practical RAG and OCR assessment.