tabular-review

Extract and normalize data from batch documents into tables using custom schemas.

Updated Jun 30, 2026
One-click install
npx skills add https://github.com/Bossmann007/claude-legal-br --skill tabular-review-bossmann007
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: tabular-review
Source: https://github.com/Bossmann007/claude-legal-br/tree/main/corporate-legal/skills/tabular-review
Command: npx skills add https://github.com/Bossmann007/claude-legal-br --skill tabular-review-bossmann007

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the review of large batches of documents, extracting key information and generating detailed tables for analysis and verification.

Core Features & Use Cases

  • Batch Document Review: Automatically analyze and extract data from multiple documents.
  • Custom Schema: Build a custom schema to define what information to extract and how to format it.
  • Data Normalization: Standardize extracted data for consistency and accuracy.
  • Output Formats: Export data in Markdown, CSV, Excel, or Google Sheets formats.
  • Use Case: Use this Skill to review and compare contract terms, extract financial data, or analyze regulatory documents.

Quick Start

Use the tabular-review skill to build a schema for M&A diligence on contracts. Load the schema with 'tabular-review --schema .review-schema.yaml', then review the contracts in './vdr/02-Contracts/' with 'tabular-review --docs ./vdr/02-Contracts/'.

Frequently Asked Questions about tabular-review

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I extract data from multiple legal documents into a structured table?

Batch document review automates extracting specific data points from multiple legal documents by applying a custom schema to normalize information and output structured tables in Markdown, CSV, or Excel formats.

What is the best way to automate contract review for M&A diligence?

Automating contract review for M&A diligence is best handled by loading a custom schema configuration file and pointing the batch analysis tool at your virtual data room directory to extract and compare contract terms into actionable data tables.

Can I export extracted compliance data to Excel or Google Sheets?

Yes, you can export extracted compliance data to Excel or Google Sheets, as the schema-driven extraction tool supports normalizing batch document collections and presenting the output in multiple formats including CSV, Markdown, and spreadsheet files.

Do I need a custom schema to analyze batch document collections?

Yes, a custom schema is required to analyze batch document collections because it defines exactly what information to extract and how to format it, driving the schema-driven extraction and normalization process for accurate data tables.

How does data normalization work during legal document review?

Data normalization during legal document review works by standardizing the information extracted from multiple documents against your custom schema, ensuring consistency and accuracy across the generated data tables for compliance checks.

What formats are supported for exporting extracted document data?

Supported export formats for extracted document data include Markdown, CSV, Excel, and Google Sheets, allowing you to present normalized batch review results in the format that best suits your downstream analysis needs.