local-first-legal-workspace
OfficialAudit what leaves your legal AI workspace.
Legal & Compliance#document conversion#local-first#BYOK#credential handling#privacy boundary#network call inventory#legal ai workspace
AuthorLegalQuants
Version1.0.0
Installs0
System Documentation
What problem does it solve?
It helps lawyers and legal engineers design or evaluate legal AI workflows so they can clearly understand what data is stored locally, what is transmitted externally, and where privacy/BYOK claims are uncertain.
Core Features & Use Cases
- Local-first boundary mapping: Produce a structured map of where documents, generated files, chat history, logs, settings, and credentials live within the user’s workspace.
- Network-call inventory for legal AI: Enumerate external calls (model providers, citation/registry lookups, OCR/conversion services, telemetry/CDNs) with payload, credentials, triggers, retention posture, and evidence status.
- User-control and disclosure support: Generate a user-facing disclosure note and a checklist that explains controllability (backup, deletion, BYOK scoping) plus unknowns requiring verification.
Quick Start
Ask the AI to audit your legal AI workspace by listing the exact local storage locations, then inventory every external call and what data it sends based on your architecture evidence.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: local-first-legal-workspace Download link: https://github.com/LegalQuants/lq-skills/archive/main.zip#local-first-legal-workspace Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
Agent Skills Search Helper
Install a tiny helper to your Agent, search and equip skill from 471,000+ vetted skills library on demand.