"Reducto helped us unlock the last mile of tough legal documents that gave us the competitive edge we needed to provide the accuracy and rigor our customers look for."
Legal Documents to Structured Data
Process highly structured, context-sensitive legal documents with reliable, high-fidelity citations and defensible outputs built for real legal review.
What our customers say
From seed-stage to enterprise scale, legal AI teams rely on Reducto for accurate, reliable, production-ready pipelines.
Thomas Bueler-FaudreeCo-founder of August
"Reducto is one of the key technologies we use at Vanta AI. It's the most accurate document parsing solution we've evaluated, and beyond their accuracy we appreciate their reliability, responsiveness, and strong customer support."
Ignacio AndreuHead of Vanta AI
"When we launched Reducto, the difference was huge. OCR-related customer concerns dropped sharply, and customers dramatically increased their use of OCR on more challenging documents."
Jin ZhangTech Lead at Harvey
Unlock Legal Insights Faster.
Reducto automatically understands structure, definitions, and context—extracting accurate, citation-ready data from even the most complex legal documents, with no templates or model training required.
Problems we solve
Legal teams sit on mountains of documents that defy traditional automation—long, variable, context-dependent, and risky to get wrong.
1
Length & complexityDense M&A agreements, MSAs, and DPAs with definitions, exhibits, and schedules—where critical obligations hide deep inside attachments.
2
High document variationClause wording shifts by party, industry, deal size, and jurisdiction. Rigid parsing systems lack the flexibility needed.
3
Confidentiality & nuanceNDAs, memos, and filings all require nuanced interpretation beyond basic extraction. Our blended VLM approach makes our outputs context-aware.
4
Volume variabilityLegal workloads spike as new matters open, deals accelerate, or clients submit large batches of documents. Reducto scales with you.
Your legal document workflow team
Reducto automates the hardest parts of legal document parsing, preserving context while delivering accurate, review-ready data.
Context-preserving structure
Maintains clause boundaries, definitions, references, and styling so legal meaning stays intact throughout parsing and RAG.
Evidence-level citations
Generates granular, traceable bounding boxes down to page and line level for defensible legal review.
Agentic OCR for scans
Recovers text from low-quality or illegible PDFs and images using specialized, agentic OCR pipelines.
Layout-aware parsing
Processes quadplex transcripts and complex layouts while preserving line numbers and reading order.
SOC2, HIPAA compliant
Protects privileged, confidential, and regulated legal data with enterprise-grade security and audited controls.
RAG optimized chunking
Serves as the ingestion/structuring step for Legal RAG pipelines, delivering LLM-ready data grounded with citations.
Legal case studies and guides
Customer stories and a hands-on cookbook, from evaluation to production.

Harvey: turning OCR quality into customer confidence
How Harvey turned OCR quality into customer confidence with Reducto.
Read the story
August’s competitive edge: legal AI built on Reducto
How August builds end-to-end automated workflows for midsized law firms on Reducto.
Read the storyPull every redline from a contract
Extract every strikethrough, underline, and annotation as structured output.
Open the cookbookHow leading teams leverage Reducto
Teams integrate Reducto to transform complex legal documents into structured, citation-grounded data that unlocks advanced AI features—and a lasting competitive edge.
High volume M&A due diligence
Parse and extract data across active contracts, with portfolio reviews that scale to 100k+ agreements in parallel.
NDA analysis & compliance
Capture precise definitions of "Confidential Information," surface obligations and exceptions, and cite every answer.
RAG-ready document structuring
Structure documents for retrieval-augmented generation, delivering LLMs clean inputs with page and line-level citations.
Contract analysis & review
Preserve meaning-critical styling—underlines, strikethroughs, tables—so obligations and risks in customized agreements stay unambiguous.
Policy-driven timesheet compliance
Apply external policy manuals as context to evaluate timesheet entries and determine whether work is billable or compliant.
Automated legal knowledge graphs
Extract clause hierarchies and link entities across your corpus, powering search, analytics, and context-rich review workflows.