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ChatGPT and Claude process one document at a time in a conversational format without retaining structured understanding across documents. Docugami builds a persistent semantic Knowledge Graph that enables cross-document analysis, structured extraction, and obligation tracking at scale — capabilities that general-purpose LLMs are not designed for.
No. Unlike traditional extraction tools that require manual template configuration, Docugami learns document structure automatically from a small set of examples (typically 5–10 documents), adapting to format variations without reconfiguration.
Docugami excels with complex, recurring business documents including master service agreements, statements of work, NDAs, insurance policies and ACORD forms, invoices, leases, and clinical documents.
For best results, upload at least 50 similar documents so the AI can learn the structure and variations in your specific document type. The platform can begin learning from as few as 5–10 documents.
Docugami maintains SOC 2 compliance with data encrypted at rest and in transit, SSO integration, RBAC, audit logging, and dedicated tenant environments. The platform does not train on customer data, and private deployment options are available for organizations with strict security requirements.
Docugami offers API access for integration with existing workflows and supports export to Excel, CSV, and direct integration with CRM, CLM, ERP, and BI platforms via API and webhooks.
Docugami uses quote-based pricing scaled to document volume and complexity. A free 14-day trial is available to evaluate the platform before committing. Contact Docugami's sales team for pricing tailored to your organization's document volume, document types, and integration requirements.
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Last verified March 2026