tabular-review

Batch contract extraction converts folders of legal documents into a spreadsheet, placing structured values in rows and columns with verbatim quotes and specific locations for each cell. This ensures every extracted data point is traceable to exact source text for fast auditing.

Schema-driven contract review uses a YAML file with typed columns like verbatim, classify, date, duration, and currency to extract comparable data points across hundreds of files. It performs a sampled schema validation before full fan-out to ensure consistency.

Bulk contract comparison handles missing or unclear clauses by assigning explicit states like not_present, unclear, or needs_review to cells. This verification-aware output flags ambiguous data points so lawyers can manually review incomplete or conflicting contract language.

You can compare assignment, change-of-control, and MAC clauses across multiple contracts by defining these data points as columns in a YAML schema. The tool extracts and classifies each clause per document, outputting a structured spreadsheet for diligence.

The best way to audit hundreds of contracts is using a typed schema to extract structured data, generating Excel, Sheets, or CSV outputs with one row per document. The output includes auxiliary source files and a normalization summary to track extraction states.