tabular-review

Tabular review extracts standardized data points from multiple contracts into a spreadsheet grid, backing every cell with verbatim source quotes and location citations. It maps each row to one document and each column to a specific field for batch diligence.

Bulk document review for M&A diligence is handled by mapping each document to a row and each requested data point to a typed column. This schema-driven extraction enforces verbatim quoting and explicit states like not_present or needs_review to prevent silent omissions.

Schema-driven extraction handles missing or unclear contract terms by assigning explicit states such as not_present, unclear, or needs_review. This verification-focused workflow drives human follow-up instead of silently leaving cells blank during batch contract reviews.

Tabular extraction works for vendor contract audits and portfolio comparisons by generating a standardized grid where each row represents a document. It requires every extracted data point to include the exact quoted source text and its location reference for traceability.

Contract diligence extraction requires no specific dependencies and processes documents from a specified folder to output an evidence-backed spreadsheet. It applies typed schema constraints to ensure consistent data extraction across various batch document review scenarios.