/reg-gap-analysis

1. Load ~/.claude/plugins/config/claude-for-legal/privacy-legal/CLAUDE.md → privacy policy commitments, regulatory footprint, DSAR systems.
2. Run the workflow below.
3. Scope: does the regulation apply? (jurisdiction, thresholds, sector)
4. Extract requirements → diff against current state → gap list.
5. Remediation plan with owners, dates, prioritization.
6. Save dated doc. Even "no gaps" gets documented.

/privacy-legal:reg-gap-analysis "Colorado Privacy Act"

/privacy-legal:reg-gap-analysis
[paste guidance / reg text]

Regulation-to-Policy Gap Analysis

Purpose

A state passes a new privacy law. The ICO issues new guidance. The CPPA finalizes regulations. Something moves — and now you need to know what, if anything, you have to change.

This skill diffs the new requirement against what you currently do (per ~/.claude/plugins/config/claude-for-legal/privacy-legal/CLAUDE.md → Privacy policy commitments + the practices documented in PIAs) and produces a gap list with a remediation plan.

Load current state

Read ~/.claude/plugins/config/claude-for-legal/privacy-legal/CLAUDE.md:

• ## Privacy policy commitments — what you've publicly promised
• ## Regulatory footprint — what already applies
• ## DSAR process → systems list — what you actually do operationally

If the regulation doesn't apply to you (wrong jurisdiction, below threshold, different sector), the gap analysis is one line: "Doesn't apply. Here's why: [reason]. No action needed."

Workflow

Step 1: Scope the regulation

Before diffing, answer:

• Does it apply? Jurisdiction (do you have data subjects there?), threshold (revenue, user count, data volume), sector carve-outs
• When? Effective date, enforcement date (often later), any phase-in
• What's actually new? Many "new" state privacy laws are 90% CCPA with tweaks. Identify the delta from what you already comply with, not the full text.

Step 2: Extract requirements

Read the regulation (or summary/guidance). List every substantive requirement as a discrete item:

Categories:

• Notice — what you have to tell users (privacy policy content)
• Rights — what users can ask for (DSAR-adjacent)
• Security — technical/organizational measures
• Vendor — what you have to flow down to processors
• Consent — opt-in/opt-out mechanics
• Governance — DPO, impact assessments, record-keeping

Step 3: Diff against current state

For each requirement:

### [Requirement #N]: [short name]

**Regulation says:** [requirement, quoted or paraphrased]

**We currently:** [what the config CLAUDE.md / privacy policy / practice shows]

**Gap:** [None | Partial | Full]

**If partial/full gap — what's missing:** [specific]

**Effort to close:** [Policy update only | Product change | Vendor renegotiation |
New process]

**Risk of non-compliance:** [regulatory penalty range, enforcement likelihood,
reputational]

Step 4: Prioritize

Not every gap is equal. Sort by:

1. Hard deadline with teeth — effective date + active enforcement + real penalties
2. Effort-to-impact ratio — policy language update is cheap; product rebuild is not
3. What you've already half-done — if you're 80% there for GDPR, the state law delta may be small

Step 5: Remediation plan

Prepend the work-product header from ~/.claude/plugins/config/claude-for-legal/privacy-legal/CLAUDE.md ## Outputs (it differs by user role — see ## Who's using this).

Research-connector pre-flight. Before emitting the remediation plan, check whether a legal research connector is reachable for this session — Westlaw, an EUR-Lex / regulator-site connector, or any firm-configured research MCP. Collect this into the reviewer note per CLAUDE.md ## Outputs: if no connector returns results in Step 2 or the Common regulation categories research step (or none is configured at run time), record it in the Sources: line of the reviewer note — e.g., not connected — cites from training knowledge; the highest-fabrication items in privacy gap analyses are new state-law effective dates, enforcement-begins dates, and article/section pinpoints — spot-check those first. Per-citation [model knowledge — verify] tags remain inline. Do not emit a standalone banner above the output.

[WORK-PRODUCT HEADER — per plugin config ## Outputs]

## Remediation Plan: [Regulation name]

**Effective date:** [date]
**Enforcement begins:** [date]

### Must-do before enforcement

| Gap | Fix | Owner | Due | Status |
|---|---|---|---|---|
| [gap] | [specific fix] | [name] | [date] | [ ] |

### Should-do (lower risk, not blocking)

[same table]

### Already compliant

[list of requirements where gap = None — useful for the "we're mostly fine" message]

### Accepted gaps (risk-accepted, not fixing)

[if any — with documented rationale and who accepted the risk]

Common regulation categories

When scoping the delta, it helps to place the new regulation into a rough category and then research the specifics:

• Baseline data-protection / privacy law — broad coverage of a jurisdiction's personal data practices
• Sector-specific overlay — health, finance, children, education, employment, etc.
• AI-specific regime — transparency, impact assessments, or governance for automated decision-making
• Data broker / ad-tech regime — registration, opt-out, deletion mechanisms
• Breach-notification regime — standalone or embedded in a broader law
• Cross-border transfer regime — adequacy, mechanism, and assessment requirements

For each category relevant to the new regulation, research the currently operative requirements before drafting the gap analysis. Cite primary sources. Verify currency — new state laws come online each legislative session, and regulators issue interpretive guidance that shifts what "compliance" means for a given control. Flag uncertainty for attorney verification rather than assert a rule you haven't confirmed.

No silent supplement. If a research query to the configured legal research tool (Westlaw, regulator databases, or firm platform) returns few or no results for a regulation, guidance document, or enforcement action, report what was found and stop. Do NOT fill the gap from web search or model knowledge without asking. Say: "The search returned [N] results from [tool]. Coverage appears thin for [regime / topic]. Options: (1) broaden the search query, (2) try a different research tool, (3) search the web — results will be tagged [web search — verify] and should be checked against the issuing authority before relying, or (4) flag as unverified and stop. Which would you like?" A lawyer decides whether to accept lower-confidence sources.

Source attribution tiering. Tag every citation in the gap analysis with its source. For model-knowledge citations, use one of three tiers rather than a single blanket "verify" tag:

• [settled] — stable, well-known statutory and regulatory references unlikely to have changed (e.g., GDPR Art. 33, CCPA § 1798.100, FTC Act § 5). Still verify before filing, but lower priority.
• [verify] — model-knowledge citations that are real but should be verified: specific implementing regulations, agency guidance, case holdings, thresholds, effective dates, newly enacted state statutes.
• [verify-pinpoint] — pinpoint citations (specific subsection letters, volume/page numbers, paragraph numbers, regulatory subpart references) carry the highest fabrication risk and should ALWAYS be verified against a primary source.

Tool-retrieved citations keep their source tag ([Westlaw], [issuing authority site], or the MCP tool name); web-search citations remain [web search — verify]; user-supplied citations remain [user provided]. The tiering surfaces the real verification work — a reader who verifies everything verifies nothing. Never strip or collapse the tags.

Integration with other skills

From PIA generation: PIAs flag privacy policy inconsistencies → those feed here as known gaps.

To the regulatory-legal plugin (if installed): This skill is the manual version. The monitor plugin watches feeds and triggers this analysis automatically when something changes.

Output

Save as a dated markdown doc. The remediation plan table becomes a tracker — update status as items close.

If the gap analysis concludes "no gaps, we're compliant," still write the doc — it's useful evidence later that you looked.

Close with a citation-verification note:

Citations in this output were generated by an AI model and have not been verified against a primary source. Before relying on any regulation, statute, guidance, or enforcement action, check it against a legal research tool (Westlaw, your firm's research platform, or the issuing authority's website) for accuracy and current status. AI-generated citations are sometimes fabricated or misquoted. Source tags on each citation (e.g., [web search — verify]) show where it came from; verify tags carry higher fabrication risk and should be checked first.

Close with the next-steps decision tree

End with the next-steps decision tree per CLAUDE.md ## Outputs. Customize the options to what this skill just produced — the five default branches (draft the X, escalate, get more facts, watch and wait, something else) are a starting point, not a lock-in. The tree is the output; the lawyer picks.

What this skill does not do

• It doesn't interpret ambiguous regulatory language authoritatively. When the reg is unclear, say so: "Section X could be read as [A] or [B]. [A] is the conservative read. Suggest outside counsel if this is material."
• It doesn't track regulatory changes proactively. It runs when you point it at a change. For proactive monitoring, see the regulatory-legal plugin.
• It doesn't implement fixes. It plans them.