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tabular-review-antoine-louis

Extract structured data from PDF and DOCX documents into a JSON matrix.

630|79|Updated Dec 18, 2025
Search Tags:#citations#PDF#DOCX#Excel-output#tabular-review#document-matrix#contract-analysis
One-click install
npx skills add https://github.com/lawvable/awesome-legal-skills --skill tabular-review-antoine-louis
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: tabular-review-antoine-louis
Source: https://github.com/lawvable/awesome-legal-skills/tree/main/%F0%9F%9B%A0%EF%B8%8F/tabular-review-antoine-louis
Command: npx skills add https://github.com/lawvable/awesome-legal-skills --skill tabular-review-antoine-louis

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Tabular Review consolidates data from multiple PDFs and Word documents into a single structured matrix, with source citations, reducing manual extraction and cross-document comparison.

Core Features & Use Cases

  • Extracts key fields from documents into a table-like structure suitable for Excel import.
  • Compares clauses across contracts to surface inconsistencies, redlines, and risks.
  • Produces a document review matrix with per-document citations that you can share with stakeholders.

Quick Start

  1. Place your PDFs and DOCX files into a folder and specify an output Excel filename.
  2. Define the columns you want extracted (e.g., Parties, Dates, Term, Governing Law).
  3. Run the skill to discover documents, process them in parallel, and generate both an Excel workbook and a JSON summary with citations.

Frequently Asked Questions about tabular-review-antoine-louis

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

FAQPage Schema
How do I extract data from multiple PDF and DOCX documents into a single matrix for Excel?▼

You can extract data from multiple PDF and DOCX documents into a single matrix by defining target columns like Parties or Dates, then running the skill to process files in parallel and output a structured Excel workbook with citations.

Can I compare contract clauses across many files and track the source citations?▼

Yes, you can compare contract clauses across many files and track source citations. The skill builds a tabular matrix that surfaces inconsistencies and risks while providing per-document citations for stakeholder review.

What is the best way to consolidate regulatory documents for due diligence cross-referencing?▼

Consolidating regulatory documents for due diligence is best achieved through a tabular review process that parses content across files and generates a structured JSON summary with citations for direct Excel import.

Does this document matrix extraction require Python-based tooling to run?▼

Yes, building a document matrix with this tool requires Python-based tooling within the skill to locate documents, parse content, and generate the structured JSON output needed for Excel import.

What output formats are generated when extracting structured data from PDF and Word files?▼

Extracting structured data from PDF and Word files generates both an Excel workbook for immediate sharing and a structured JSON summary containing the extracted fields and their corresponding citations.

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