Hebbia

Hebbia uses large language models to read and analyze dense documents — contracts, filings, research reports — and returns structured answers. It’s built for professionals who need to pull insights from massive document sets without manual review.

What it does

You upload PDFs, emails, or text files. Hebbia indexes them and lets you ask natural-language questions. The AI finds relevant passages, summarizes findings, and can run custom workflows like extracting specific clauses or comparing versions. It’s designed for high-stakes, regulated environments.

Best for

• Investment analysts reviewing hundreds of filings or transcripts
• Legal teams doing contract review or due diligence
• Consultants and researchers synthesizing large document libraries

Strengths

• Handles very long documents (thousands of pages) without chunking issues
• Supports complex multi-document queries with cross-referencing
• Enterprise-grade security with SOC 2 compliance and data encryption
• Customizable extraction templates for repetitive tasks

• Natural language querying — Ask questions in plain English and get cited answers
• Multi-document analysis — Search across thousands of files simultaneously
• Custom extraction workflows — Define fields to pull (e.g., termination clauses, revenue figures)
• Version comparison — Highlight changes between document revisions
• API and integrations — Connect with existing data sources and tools
• Audit trail — Every answer links back to source documents