What visualizations are generated?

It creates interactive HTML files including a communication network graph showing relationships and a timeline showing email volume trends over time.

Can it handle large email archives?

Yes, for archives exceeding 100 emails, the skill automatically delegates analysis to subagents to avoid context window limitations and maintain processing speed.

How does the privilege flagging work?

It identifies potentially privileged emails by checking for specific attorney names or law firm domains provided by the user and flags them in a dedicated report for manual review.

Does it modify my original email files?

No, the skill reads your source files and generates all analysis, metadata, and visualizations in a new, separate e-discovery output directory.

Which email file formats are supported?

The skill supports .eml, .msg, and .mbox files, as well as directories containing a mix of these formats.

E-Discovery Email Processor

Name: E-Discovery Email Processor
Author: jdrodriguez

byjdrodriguez

•

Productivity & Workflow

Processes and analyzes email archives for legal review, including thread reconstruction, deduplication, and privilege flagging.

The process-emails skill is a comprehensive e-discovery tool designed to handle large volumes of email data within Claude Code. It parses common formats like .eml, .msg, and .mbox to reconstruct complex conversation threads, identify duplicate communications, and flag potentially privileged content based on custom attorney lists or domains. Beyond basic metadata extraction, the skill generates interactive network visualizations and timelines to help legal teams map communication patterns and prepare formal processing reports, making it essential for early case assessment and litigation preparation.

Key Features

01Interactive communication network and timeline visualizations

02Multi-format email parsing including .eml, .msg, and .mbox files

03Automated thread reconstruction and duplicate identification

04Heuristic-based privilege detection using attorney names and domains

052 GitHub stars

06Subagent delegation for efficient analysis of large (100+) email archives

Use Cases

01Mapping communication networks between key stakeholders in a legal matter

02Identifying and flagging privileged communications for attorney review

03Early case assessment (ECA) to understand the scope and timeline of a corpus

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jdrodriguez/legal-toolkit process-emails

For use in Claude.ai and ChatGPT

Key Features

01Interactive communication network and timeline visualizations

02Multi-format email parsing including .eml, .msg, and .mbox files

03Automated thread reconstruction and duplicate identification

04Heuristic-based privilege detection using attorney names and domains

052 GitHub stars

06Subagent delegation for efficient analysis of large (100+) email archives

Use Cases

01Mapping communication networks between key stakeholders in a legal matter

02Identifying and flagging privileged communications for attorney review

03Early case assessment (ECA) to understand the scope and timeline of a corpus

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jdrodriguez/legal-toolkit process-emails

For use in Claude.ai and ChatGPT