Hebbia

Process and analyze millions of pages of documents simultaneously without performance degradation. Handles massive document volumes that would overwhelm traditional tools while maintaining consistent analysis quality across the entire dataset.

Analyze documents while providing explicit, auditable explanations of how conclusions were reached. Shows the reasoning chain and evidence sources for every finding, enabling verification and compliance validation.

Identify unusual patterns, inconsistencies, and anomalies across document collections. Flags deviations from expected patterns, missing standard provisions, or contradictory information.

Accept and process documents in diverse formats and automatically convert them to analyzable form. Handles PDFs, scanned images, Word documents, emails, and other formats without manual conversion.

Analyze how documents change over time and track modifications across versions. Identifies what changed, when it changed, and the significance of those changes.

Automate the identification and analysis of critical information in legal documents during due diligence processes. Extracts key terms, risks, obligations, and anomalies across entire document sets with transparent reasoning.

Search, analyze, and compare patent documents and intellectual property filings at scale. Identifies prior art, claim similarities, and technical relationships across massive patent databases.

Maintain context and structure when processing documents with complex layouts, tables, images, and mixed content types. Preserves relationships between elements and handles non-standard document formats without losing information.

Enable teams to work alongside AI in document analysis, combining human expertise with AI capabilities. Supports iterative refinement where humans guide and validate AI analysis in real-time.

Identify and map relationships, references, and connections across multiple documents in a large corpus. Creates knowledge graphs showing how documents relate to each other and to key concepts.

Verify that documents meet regulatory requirements and identify compliance gaps. Checks documents against regulatory frameworks and flags missing or non-compliant provisions.

Search across millions of documents using natural language queries to find relevant content. Returns contextually relevant results with high precision across massive document collections.

Generate concise summaries of documents or document collections while maintaining clear attribution to source material. Summaries include citations showing exactly where information came from.