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policy-starter

Draft attorney-review AI usage policies from published model guidance.

Updated May 26, 2026
Search Tags:#legal review#data handling#policy drafting#ai governance#risk controls#genai usage#model policy sourcing
One-click install
npx skills add https://github.com/yachela/claude-for-legal-ar --skill policy-starter-yachela
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: policy-starter
Source: https://github.com/yachela/claude-for-legal-ar/tree/main/ai-governance-legal/skills/policy-starter
Command: npx skills add https://github.com/yachela/claude-for-legal-ar --skill policy-starter-yachela

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It helps legal teams create a first-cut internal AI usage policy that is sourced from published model guidance and clearly marked for attorney review, so you can move faster toward an adoptable policy without inventing legal positions.

Core Features & Use Cases

  • Scope-first policy drafting: runs a guided scope interview so the draft only covers the sections the firm selects (e.g., scope, permitted uses, disclosure, data handling, enforcement).
  • Practice-profile adapted output: pulls from the local practice profile (company/regulatory footprint, use-case registry, governance/escalation, audience role) to tailor the header and adoption framing.
  • Source-based and review-flagged decisions: performs model-policy sourcing and inserts [review] flags and open questions at every judgment point, producing a draft for attorney adoption.

Quick Start

Use policy-starter to draft an internal AI usage policy for your organization with attorney-review safeguards and a sources-and-adoption structure by saying: Draft 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 internal AI usage policy from published model guidance?▼

Draft an internal AI usage policy by running a guided scope interview to select sections, sourcing model-policy guidance, and inserting [review] flags at decision points. The output is a structured, attorney-review-ready governance draft.

What is the best way to create a GenAI governance policy for a specific legal team?▼

Create a GenAI governance policy for a specific team by adapting the draft to your local practice profile, including company footprint and use-case registry. This tailors the header and adoption framing to your team's audience role.

Can I generate an AI policy draft that only covers data handling and disclosure sections?▼

Yes, you can generate an AI policy draft covering only data handling and disclosure. The scope-first drafting mechanism runs a guided interview so the output exclusively includes the specific governance sections your firm selects.

Does policy-starter work for firm-wide AI risk controls and incident reporting?▼

policy-starter works for firm-wide AI risk controls and incident reporting by drafting structured policy sections. It sources model guidance and applies exhaustive open questions and review flags to every enforcement and reporting judgment point.

How are legal positions handled during AI policy drafting to avoid unauthorized legal conclusions?▼

During AI policy drafting, legal positions are handled by inserting [review] flags and open questions at every judgment point. This prevents inventing legal positions and produces a draft explicitly marked for attorney adoption.

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