Docugami is an AI-powered document intelligence platform that understands business documents semantically, extracting structured data and enabling cross-document analysis for contracts, invoices, and compliance workflows.
AI that deeply understands your business documents — extracts structured data, tracks obligations, and enables cross-document analysis without manual templates.
Docugami is an enterprise document intelligence platform in the Document AI category that extracts structured data from contracts, invoices, insurance forms, and other complex business documents using semantic Knowledge Graph technology, with quote-based pricing and a free 14-day trial including 1,000 pages of processing. Founded in 2019 by Jean Paoli — co-creator of the XML specification — and other former Microsoft leaders, the company has raised over $45 million in venture funding and serves enterprise customers across legal, insurance, finance, and real estate sectors.
Unlike flat text extraction tools that treat documents as unstructured strings, Docugami builds a hierarchical semantic Knowledge Graph from each document set, capturing structure, meaning, and clause-level relationships. The platform's patented Business Document Foundation Model learns from as few as 5–10 sample documents without requiring labeled training data or manual templates, with initial model training typically completing within 30 minutes for sets of 50 or more files. Independent benchmarks have shown the platform achieving 95%+ extraction accuracy on complex contract clauses, eliminating the weeks of template configuration required by traditional IDP platforms like ABBYY FlexiCapture or Kofax.
The platform handles complex, recurring business document types — contracts (MSAs, SOWs, NDAs), insurance forms (ACORD), invoices, leases, and clinical documents — and supports cross-document intelligence that lets users query, compare, and analyze terms across portfolios of hundreds or thousands of documents simultaneously. Automated obligation and deadline tracking identifies renewal dates, payment terms, and compliance requirements, with customers reporting up to 80% reduction in manual document review time.
Docugami maintains SOC 2 Type II compliance with data encryption at rest and in transit, SSO integration, RBAC, audit logging, and dedicated tenant environments. The platform does not train on customer data, and supports both cloud-hosted and private deployment configurations for organizations with strict data residency requirements.
Pricing is quote-based and scaled to document volume, document types, and integration scope. Pilot engagements typically run 4–8 weeks and are scoped to a defined document set for ROI validation before production commitment. Enterprise customers should expect annual pricing consistent with mid-market IDP platforms, typically starting in the low-to-mid five figures depending on page volume and number of document types. The 14-day free trial requires no credit card and includes up to 1,000 pages of processing for initial evaluation.
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Docugami stands out in the document AI space for its semantic understanding approach, building Knowledge Graphs from business documents rather than relying on flat text extraction or rigid templates. Founded by Jean Paoli and other former Microsoft leaders, it excels at processing complex, recurring document types like contracts, insurance forms, and invoices at scale. The platform is best suited for enterprise teams that need structured extraction, cross-document analysis, and obligation tracking, though its quote-based pricing and onboarding requirements may not suit smaller teams or ad-hoc use cases.
Unlike flat text extraction, Docugami builds a hierarchical semantic graph that captures the structure, meaning, and relationships within each document — enabling context-aware querying and extraction.
While competitors like ABBYY FlexiCapture and Kofax require manual template configuration for each document format, Docugami learns document structure automatically from a small set of examples, adapting to variations without reconfiguration.
Query and compare data across your entire document collection — find outlier clauses, compare terms across vendors, and identify patterns that would be impossible to spot manually.
Extract document data directly to Excel, CSV, and via API to business systems like CRM, CLM, and ERP platforms for seamless workflow integration.
The platform identifies deadlines, renewal dates, obligations, and conditional terms automatically, enabling proactive management of contractual commitments.
Beyond extraction, Docugami can generate new documents using data and patterns learned from existing document sets, enabling standardization and efficiency.
Free (14 days)
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