policy-starter

Name: policy-starter
Availability: InStock
Author: az9713

Draft an internal AI usage policy with scoped sections and reviewer flags.

Updated May 15, 2026

Search Tags:#governance #risk management #legal review #jurisdiction #ai policy #model guidance #compliance drafting

Ready to run

npx skills add https://github.com/az9713/claude-for-legal-tutorial --skill policy-starter-az9713

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: policy-starter
Source: https://github.com/az9713/claude-for-legal-tutorial/tree/main/ai-governance-legal/skills/policy-starter
Command: npx skills add https://github.com/az9713/claude-for-legal-tutorial --skill policy-starter-az9713

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

policy-starter turns a vague request for an AI policy into a structured, attorney-review draft grounded in published model guidance, with clear scoping and explicit items that require legal judgment.

Core Features & Use Cases

Scope-first policy drafting: runs a scope interview (sections, audience, deployment context) before writing any policy text, preventing an overly broad one-size-fits-all document.
Model-policy sourced drafting: searches for and adapts relevant published model policies and jurisdiction-specific guidance, with inline source attribution and reviewer flags on every choice point.
Adoption-ready output: produces a draft with a clear “not for distribution” header, a sources block, a reviewer note, an attorney adoption checklist, and a next-steps decision tree.

Quick Start

Run the skill with: policy-starter and include a prompt like "we need an AI policy for our 30-lawyer firm".

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 a law firm?▼

An AI usage policy outlines acceptable use, governance, and risk management protocols for deploying AI models within an organization. It is needed when a firm or in-house legal team begins using AI tools and requires documented compliance guardrails before distribution.

What is the best way to structure an internal AI governance policy?▼

The best way to structure an AI governance policy is to start with a scope interview covering required sections and practice profile, then adapt jurisdiction-derived model policies into a draft featuring inline [review] flags and an attorney adoption checklist.

Can I use automated policy drafting for in-house legal compliance?▼

Yes, automated policy drafting applies to in-house legal compliance by scoping required sections and adapting published model policies to the organization's practice profile, yielding an initial draft with a clear 'not for distribution' header and reviewer notes.

How do model policies and jurisdiction-specific guidance factor into compliance drafting?▼

Model policies and jurisdiction-specific guidance factor into compliance drafting by serving as sourced reference material that the skill searches, evaluates, and adapts to produce grounded policy text with inline source attribution for legal review.

What are the limitations of using an AI policy generator for legal review?▼

A limitation of using an AI policy generator is that the output is a first-cut draft requiring legal judgment; it includes inline [review] flags on choice points and an adoption checklist, meaning it cannot be distributed without attorney review.