diligence-issue-extraction

Name: diligence-issue-extraction
Availability: InStock
Author: Anthropic

Extract diligence issues from VDR documents into category-structured findings.

9.1k|1.8k|Updated Apr 21, 2026

Search Tags:#source attribution #issue extraction #vdr #diligence review #materiality thresholds #contract consents #in-house memo

Ready to run

npx skills add https://github.com/anthropics/claude-for-legal --skill diligence-issue-extraction-anthropics

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: diligence-issue-extraction
Source: https://github.com/anthropics/claude-for-legal/tree/main/corporate-legal/skills/diligence-issue-extraction
Command: npx skills add https://github.com/anthropics/claude-for-legal --skill diligence-issue-extraction-anthropics

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill turns large volumes of VDR documents into deal-relevant issue findings organized by diligence category and filtered by materiality thresholds, so legal teams can move faster with consistent, attorney-reviewable output.

Core Features & Use Cases

VDR inventory + coverage mapping: Builds a category-by-category index of which requested diligence items are present in the data room and flags gaps.
Materiality-filtered extraction: Reviews only what meets the thresholds from practice and deal context, including top-down review for contracts.
House-memo issue writing with citations: Produces findings in the repository’s in-house memo format, including severity calibration (🔴/🟡/🟢) and strict source-attribution guidance.
Close-impact handoffs: Routes findings that imply discrete pre-closing actions (e.g., consents, approvals, filings, releases) to the closing checklist flow.

Quick Start

Run the diligence-issue-extraction skill and point it to your VDR folder path so it generates a categorized in-house diligence issues memo filtered by materiality thresholds.

Frequently Asked Questions about diligence-issue-extraction

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

FAQPage Schema

How do I extract diligence issues from a VDR folder for a deal review?▼

To extract diligence issues from a VDR folder, the Skill scans documents to perform VDR inventory and gap detection, filtering findings by configured materiality thresholds to generate category-structured issue lists.

What is the best way to organize data room findings into an in-house memo format?▼

Organizing data room findings into an in-house memo requires compiling extracted issues grouped by diligence category and severity, applying strict source-attribution safeguards and severity calibration for attorney-reviewable output.

How do materiality thresholds affect contract consents extraction during a diligence review?▼

Materiality thresholds filter contract consents extraction during diligence review by limiting the output to only deal-relevant issues that meet the configured severity criteria, ensuring findings warrant closing-impact handoffs.

Can I flag missing documents during a VDR inventory and coverage mapping process?▼

You can flag missing documents during VDR inventory and coverage mapping by building a category-by-category index of requested diligence items present in the data room, which automatically highlights coverage gaps.

Does the diligence issue extraction process handle closing-impact handoffs for contract consents?▼

The diligence issue extraction process handles closing-impact handoffs by routing findings that imply discrete pre-closing actions, such as contract consents, approvals, and filings, directly to the closing checklist flow.

Why do I need source attribution and unverified-citation safeguards for VDR document review?▼

Source attribution and unverified-citation safeguards are needed for VDR document review to enforce strict referencing of original documents, preventing fabricated findings and ensuring the in-house memo remains attorney-reviewable.