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Docugami is a document AI platform that reads complex business documents (contracts, invoices, MSAs, insurance policies, statements) as semantic XML — not as flat text — then extracts structured data, generates cross-document reports, and answers questions with citations back to the original page. Founded by ex-Microsoft Office veterans.
Docugami is a document AI platform that reads complex business documents (contracts, invoices, MSAs, insurance policies, statements) as semantic XML — not as flat text — then extracts structured data, generates cross-document reports, and answers questions with citations back to the original page. Founded by ex-Microsoft Office veterans.
Docugami's premise is that most business documents are structured (a contract has parties, terms, renewal clauses; an invoice has a vendor, line items, totals; a policy has coverages, deductibles, endorsements), but that structure is trapped in narrative prose and boilerplate. The platform parses the documents into an internal semantic XML representation ('Document XML'), clusters similar documents into cohorts, and lets you extract structured fields, generate reports across the whole set, and ask questions that come back with citations to the exact page and paragraph. Unlike generic RAG on /tools/unstructured chunks, Docugami's structure-first approach reduces hallucinations because answers must ground to a specific XML node.
Pricing verified on docugami.com/pricing (July 2026), listed as a limited-time Founder's Price against a standard 'Professional' list price: Professional $600/month standard, $300/month Founder's Price — 1 user, 450 pages/month, plus 1,000 free trial pages in month one, rollover of unused pages. Team $1,200/month standard, $600/month Founder's Price — 4 users, 1,000 pages/month. Business $2,500/month standard, $1,250/month Founder's Price — 10 users, 2,500 pages/month. Enterprise is Custom-priced with more users, more pages, and annual contract discounts. A 14-day free trial is available with up to 1,000 pages of processing, no credit card required. Customer support is email, Monday–Friday, 9 am – 5 pm PST across the paid tiers.
Docugami is the right pick when your job is 'read this stack of contracts and tell me every renewal date and auto-renewal clause' — a job LLM-plus-vector-search alternatives can approximate but rarely nail without significant custom engineering.
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.
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$600/month (Founder's Price: $300/month)
$1,200/month (Founder's Price: $600/month)
$2,500/month (Founder's Price: $1,250/month)
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Docugami has continued to lean into agentic capabilities through 2025 and into 2026, positioning the product as an 'Agentic System of Action for Business Users' rather than a pure extraction tool. Recent direction includes deeper agent-driven workflows that let business users orchestrate multi-step actions across documents (review, summarize, compare, route, alert), expanded integrations with Microsoft 365 and Copilot-era workflows, and tighter LLM-based reasoning on top of the existing knowledge graph foundation. The company has also continued to emphasize tenant-isolated models and source-linked traceability as differentiators against general-purpose LLM products being adopted in regulated industries. Specific 2026 release details should be verified directly with Docugami as the public site does not enumerate a versioned roadmap.
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Pricing and features change often. If anything on this Docugami page is wrong or missing, tell us and include a link to the source. We review every correction.