Docugami: Document AI and Data Extraction
Docugami helps enterprises extract data from complex, unstructured documents. It is designed for organizations in insurance, life sciences, and real estate that manage high volumes of contracts and regulatory files.
At a glance
- Category
- Data & Analytics
- Best for
- Enterprise organizations, Commercial insurance brokers, Life sciences and healthcare research firms, Commercial real estate agencies, Professional services firms
- Pricing
- Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
- Key use cases
- Contract Intelligence, Financial Processing, Compliance Monitoring, Insurance Risk Analysis, Clinical Research Data Structuring
- Integrations
- SharePoint, Word, Excel, Google Drive, OneDrive
- Official website
- docugami.com
Docugami is a document AI platform designed to turn unstructured business documents, such as contracts and invoices, into structured data. It uses patented technology to create hierarchical Knowledge Graphs, which helps users query documents in plain English and extract specific terms or obligations.
The software is built for enterprise-scale operations, particularly in industries with heavy documentation requirements like commercial insurance, life sciences, and professional services. It supports various file types, including PDFs, Word documents, and scanned files.
By identifying clauses, deadlines, and pricing terms, the tool is designed to reduce the manual effort involved in document review. It provides no-code interfaces, allowing non-technical business users to define extraction rules without extensive IT support.
Buyers should confirm how the platform's Knowledge Graph approach fits their specific data architecture and verify that the supported integrations align with their existing document repositories.
Key Features
Pulls specific terms, clauses, and obligations from unstructured documents like MSAs and SOWs.
Maps information within documents to reveal how data points are connected for analysis.
Allows business users to define extraction rules and manage data without writing code.
Supports the creation of AI agents to initiate and repeat business-critical actions based on document data.
Helps users ask questions of their documents in plain English to receive context-rich answers.
Maintains SOC 2 and GDPR compliance to secure enterprise data.
Use Cases
Extracting obligations and deadlines from legal agreements to support document reviews.
Capturing line items and vendor details from invoices to support approval workflows.
Scanning documents for specific rules and deadlines to help generate audit-ready reports.
Extracting data from ACORD forms and loss runs to support underwriting and claims processes.
Organizing information from clinical trial protocols and regulatory submissions for reporting.
Best For
Integrations
Pricing
Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
FAQ
Docugami is used to transform unstructured business documents into structured data using AI, enabling users to extract key terms, analyze patterns, and support document-based workflows.
It is designed for data-heavy industries including commercial insurance, life sciences, commercial real estate, and professional services.
No, it provides no-code interfaces that allow non-technical business users to define extraction rules.
Yes, the platform is SOC 2 and GDPR compliant.
Source category: Data & Analytics
Source subcategory: Document Automation
