tabular-review

Extract standardized data points from legal documents into spreadsheet outputs with evidence traceability.

Updated May 19, 2026
One-click install
npx skills add https://github.com/jrhueiueng/codex-for-legal --skill tabular-review-jrhueiueng
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: tabular-review
Source: https://github.com/jrhueiueng/codex-for-legal/tree/main/plugins/jrhueiueng/codex-for-legal/skills/corporate-legal__tabular-review
Command: npx skills add https://github.com/jrhueiueng/codex-for-legal --skill tabular-review-jrhueiueng

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Tabular review replaces inconsistent, time-consuming manual extraction by producing one row per document and one column per data point, with every answer traceable to the exact source text.

Core Features & Use Cases

  • Batch, column-consistent extraction: Defines a typed schema so the same column means the same thing across hundreds of documents.
  • Evidence-backed cells: Captures each cell’s value plus a supporting verbatim quote and location, supporting fast attorney verification.
  • Spreadsheet-ready outputs: Produces Excel or Google Sheets along with CSV fallbacks and source trace tables for auditing.
  • Use cases: M&A diligence across target contracts, vendor/lease portfolio reviews, and any batch task where you need consistent answers from many documents.

Quick Start

Run tabular review on a folder of contracts and generate an Excel grid of the key clauses requested, with each cell backed by the exact quoted text and citation location.

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 contracts into a spreadsheet for M&A diligence?

To do bulk contract review, you define a typed schema that specifies the exact data points to capture. The system then processes each document against this schema, extracting values, states, supporting quotes, and locations to populate a consistent spreadsheet grid.

Can I trace extracted contract data back to the source text for attorney verification?

Yes, extracted contract data is fully traceable for attorney verification. Every cell in the output spreadsheet contains a supporting verbatim quote and the exact citation location from the source document, ensuring fast and auditable evidence checks.

How do I ensure consistent data extraction across hundreds of different legal documents?

Consistent data extraction across many legal documents is achieved by using an explicit typed schema. This ensures the same column means the same thing across the entire batch and across multiple runs, normalizing values against predefined schema constraints and states.

Does this bulk contract review tool output Excel files with formula injection protection?

Bulk contract review outputs spreadsheet-ready Excel or Google Sheets files along with CSV fallbacks. The outputs are formula-injection-safe and include source trace tables and auditable work-product headers for secure portfolio review.

What is the best way to review a large vendor or lease portfolio consistently?

The best way to review a large vendor or lease portfolio is schema-driven tabular extraction. This method standardizes data points across all files, replacing inconsistent manual review with a fully cited grid that supports fast attorney verification.