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policy-starter

Draft a sourced AI usage policy with attorney-review flags.

Updated May 19, 2026
Search Tags:#risk management#legal compliance#policy drafting#ai policy#attorney review#genai governance#model guidance sourcing
One-click install
npx skills add https://github.com/jrhueiueng/codex-for-legal --skill policy-starter-jrhueiueng
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: policy-starter
Source: https://github.com/jrhueiueng/codex-for-legal/tree/main/plugins/jrhueiueng/codex-for-legal/skills/ai-governance-legal__policy-starter
Command: npx skills add https://github.com/jrhueiueng/codex-for-legal --skill policy-starter-jrhueiueng

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Creates a first-cut firm AI usage policy by drafting practical, section-by-section language sourced from published model policies, then clearly flags the decisions an attorney must make before adoption.

Core Features & Use Cases

  • Scope-first policy drafting: runs an interactive scope interview to determine which sections to include and what audience and deployment context apply.
  • Model-policy sourced outputs: researches relevant published guidance (e.g., ABA, state bars, ILTA, CLOC, NIST, EU AI Act) and adapts rules with inline attribution.
  • Attorney-review guardrails: marks every judgment call with [review] flags, adds open questions, and outputs a draft clearly labeled for internal legal review only.
  • Use cases: when a firm or in-house legal team needs a new GenAI/AI governance policy, when an existing policy needs updating for newer laws, and when HR/IT need a plain-language framework for staff adoption.

Quick Start

Run the command policy-starter and tell the skill you need an AI policy for your organization, then pick which sections to include in the draft.

Frequently Asked Questions about policy-starter

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

FAQPage Schema
How do I draft an AI usage policy for attorney review?▼

An AI usage policy translates published model guidance into practical internal rules by conducting a scope interview, researching regulatory footprints, and drafting section-by-section language with inline attribution and attorney review flags.

What is the best way to source GenAI governance rules for an internal policy?▼

Sourcing GenAI governance rules involves researching published guidance from authorities like ABA, state bars, ILTA, CLOC, NIST, and the EU AI Act, then adapting them into an internal draft with inline attribution.

How do I update an existing AI policy for newer laws and regulations?▼

Updating an existing AI policy requires assessing your deployment context and regulatory footprint, researching current model guidance, and generating a new draft with open questions and review flags for legal teams.

Can I create a plain-language AI policy framework for HR and IT staff adoption?▼

Yes, you can create a plain-language AI policy framework for HR and IT by defining your audience during the scope interview and generating practical guidelines from complex GenAI governance rules.

Does an AI policy draft generated this way replace formal legal counsel?▼

No, a generated AI policy draft does not replace formal legal counsel because every judgment point is marked with a review flag and open questions, making the output strictly a first-cut draft for internal legal adoption review.

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