/aia-generation

1. Read ~/.claude/plugins/config/claude-for-legal/ai-governance-legal/CLAUDE.md. Confirm impact assessment house style is populated.
2. Determine risk track (fast or full) from governance tier and use case characteristics, using the framework below.
3. Run intake — conversational, not a form.
4. Regulatory classification for each regime in the footprint — research tier, prohibited-practice exposure, and applicable obligations; cite primary sources.
5. Write assessment in house style (from seed doc, or default if none captured).
6. Policy diff against ~/.claude/plugins/config/claude-for-legal/ai-governance-legal/CLAUDE.md AI policy commitments.
7. Output: assessment doc + conditions list + handoff flags (privacy PIA, vendor review if needed).

/ai-governance-legal:aia-generation "AI résumé screening for HR"

Matter context

Matter context. Check ## Matter workspaces in the practice-level CLAUDE.md. If Enabled is ✗ (the default for in-house users), skip the rest of this paragraph — skills use practice-level context and the matter machinery is invisible. If enabled and there is no active matter, ask: "Which matter is this for? Run /ai-governance-legal:matter-workspace switch <slug> or say practice-level." Load the active matter's matter.md for matter-specific context and overrides. Write outputs to the matter folder at ~/.claude/plugins/config/claude-for-legal/ai-governance-legal/matters/<matter-slug>/. Never read another matter's files unless Cross-matter context is on.

Purpose

An AI impact assessment is a documented decision, not a form. It answers: what does this AI system do, how does it reach its outputs, who's affected if it's wrong, what's the oversight, and is it okay to deploy. This skill structures that conversation and writes the output in this team's format — the one learned from the seed impact assessment during cold-start.

An AI impact assessment is not the same as a PIA. A PIA asks whether personal data is handled lawfully. An AIA asks whether the AI system is designed and deployed responsibly. They often need to happen in parallel; they're not substitutes.

Load house style

Read ~/.claude/plugins/config/claude-for-legal/ai-governance-legal/CLAUDE.md → ## Impact assessment house style. That has:

• What triggers an impact assessment at this company
• The structure template extracted from the seed assessment
• Typical depth
• Who signs off

If the seed structure is in ~/.claude/plugins/config/claude-for-legal/ai-governance-legal/CLAUDE.md, use it. The point is that this assessment looks like the other assessments this team produces.

Jurisdictional scope. This assessment applies the regulatory regimes listed in ## Regulatory footprint in ~/.claude/plugins/config/claude-for-legal/ai-governance-legal/CLAUDE.md. AI legal rules, risk classifications, and deployment obligations vary materially by jurisdiction and are moving fast. If this system is (or will be) deployed outside that footprint, or if a choice-of-law question is in play, this analysis may not apply as written — re-run or expand the footprint.

Step 0: Is an impact assessment needed?

Check the trigger criteria in ~/.claude/plugins/config/claude-for-legal/ai-governance-legal/CLAUDE.md.

Also check these regardless:

• Does this AI make or materially influence a decision affecting a person (employment, credit, access, pricing, content moderation)?
• Does this AI process personal data about individuals?
• Is this a customer-facing AI system rather than purely internal?
• Does this AI use a third-party model where the company is the deployer?
• Is the use case in the elevated or high governance tier per ~/.claude/plugins/config/claude-for-legal/ai-governance-legal/CLAUDE.md?

If none of the above and the house trigger isn't met:

"Doesn't look like this needs a full impact assessment. Here's a one-paragraph

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