tabular-review

Extract predefined fields from Russian legal documents into risk-tagged tabular output.

17|4|Updated May 25, 2026
One-click install
npx skills add https://github.com/AlsKozlov/ru-legal --skill tabular-review-alskozlov
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: tabular-review
Source: https://github.com/AlsKozlov/ru-legal/tree/main/packs/corporate-law/skills/tabular-review
Command: npx skills add https://github.com/AlsKozlov/ru-legal --skill tabular-review-alskozlov

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill eliminates the hours of repetitive manual work involved in reviewing large batches of homogeneous legal documents (such as contracts, corporate paperwork, tender documentation, and employment agreements) for due diligence scenarios, replacing error-prone manual field extraction and table compilation with a structured, repeatable workflow.

Core Features & Use Cases

  • Pre-built domain templates: Ready-to-use field sets for common Russian legal document types including contracts with change-of-control/assignment clauses, key employment terms, commercial leases, IP licenses, loan agreements, and active litigation cases.
  • Custom extraction support: Ad-hoc field configuration for non-standard document sets as needed.
  • Risk classification & aggregation: Per-document risk tagging, summary statistics, and flagged issue reporting for fast deal team decision-making.
  • Use case example: Review 50 vendor contracts to extract change-of-control, assignment, and termination terms into a single risk-tagged table for M&A due diligence.

Quick Start

Use the tabular-review skill to extract all required fields from the batch of commercial lease agreements in the /dd/leases directory using the leases template and generate a structured risk-tagged table for due diligence analysis.

Frequently Asked Questions about tabular-review

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

FAQPage Schema
How do I automate contract analysis and field extraction for due diligence?

Automating contract analysis for due diligence involves batch extracting predefined fields from homogeneous legal documents. This process replaces manual review with a structured workflow that outputs a risk-tagged table for legal team analysis.

Can I extract risk classifications and anomalies from Russian legal documents in bulk?

Yes, you can extract risk classifications and anomalies from Russian legal documents in bulk. The workflow supports contracts, employment agreements, commercial leases, and loan agreements using pre-built domain-specific templates.

How do I review 50 vendor contracts for M&A due diligence and flag change-of-control clauses?

To review vendor contracts for M&A due diligence, apply a pre-built template to extract change-of-control, assignment, and termination terms. This generates a structured risk-tagged table with aggregate statistics and flagged anomalies.

What is the best way to compile a structured table from batch legal document review?

The best way to compile a table from batch legal document review is using a structured extraction workflow. It processes homogeneous document sets with domain templates, producing per-document risk tagging and summary statistics in a single output.

Does batch legal document review support custom field extraction for non-standard contracts?

Yes, batch legal document review supports custom field extraction for non-standard contracts. You can configure ad-hoc fields when pre-built templates for employment agreements, leases, or loan agreements do not fit your document set.

When should I not use automated tabular extraction for legal document review?

You should avoid automated tabular extraction for legal document review when dealing with heterogeneous, unstructured documents lacking common fields. The workflow is designed for homogeneous sets requiring repetitive field extraction and risk classification.