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Master Hebbia with our step-by-step tutorial, detailed feature walkthrough, and expert tips.
Contact sales team to discuss enterprise pricing and requirements Upload sample documents to test Hebbia's analysis on your document types Define key research questions and comparison metrics for your use cases Train team on Matrix feature for multi
document comparative analysis Integrate with existing document management and research workflows Establish verification processes for AI
generated insights and citations
💡 Quick Start: Follow these 3 steps in order to get up and running with Hebbia quickly.
Explore the key features that make Hebbia powerful for document intelligence workflows.
Analyze hundreds of documents in parallel with structured query rows and document columns, producing spreadsheet-like comparison tables. Each Matrix cell is independently sourced and citable, allowing analysts to drill from a comparison view directly into the underlying document evidence.
Extract specific covenant terms from 50 credit agreements and receive a structured comparison table in minutes rather than hours of manual review
Hebbia describes document analysis for financial workflows. Confirm supported formats and parsing quality on representative material; this check does not establish superiority over other models.
Parse 10-K filings to identify risk factors, revenue trends, and regulatory concerns across multiple companies for investment research
Matrix presents source material alongside structured analysis to support verification. Check cited material against each conclusion; this does not establish that every answer has exact page-and-paragraph citations or is accurate and complete.
Present investment committee recommendations with precise source references that stakeholders can independently verify
Process thousands of documents simultaneously through enterprise-grade infrastructure that scales horizontally with document volume. The platform handles full deal rooms and multi-year filing histories in a single workflow rather than requiring document-by-document interaction.
Analyze entire deal room of documents for due diligence, extracting key terms and risks from hundreds of contracts and agreements
Build firm-specific knowledge bases from proprietary investment memos, deal history, and internal research that remain isolated from other tenants. Collections support fine-grained access controls so different teams can maintain segregated document spaces within the same Hebbia deployment.
Create a searchable database of past investment memos and due diligence reports to inform future deal analysis
Hebbia describes document analysis across internal systems and external sources. Matrix examples include credit agreements and deal-room documents. Confirm current file formats, scanning support, limits and connector permissions for your own material.
Matrix presents structured analysis with source material that users can check. This does not guarantee accurate or complete answers. Hebbia’s public MSA disclaims accuracy and completeness warranties; independently verify important outputs against original material.
On October 16, 2026, the pricing endpoint checked failed to load its page data, so a current public price was not verified. Hebbia’s public MSA places fees in an Order Form, and its site offers demos. Request current pricing, contract and trial terms; no standard trial or minimum is verified here.
Hebbia markets to institutional teams across investing, banking, legal and corporate work. Its homepage displays customer logos including Centerview. This documentary check does not establish an adoption percentage or an exhaustive customer list.
Matrix presents structured analysis across document sets and other sources. Compare it with current alternatives using the same workload, documents, verification criteria and access controls. This documentary check does not establish universal superiority or hallucination-free results.
Now that you know how to use Hebbia, it's time to put this knowledge into practice.
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Tutorial updated March 2026