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Review marketing copy for claims that need substantiation, reframing, or cutting. Use when the user says "review this marketing copy", "check these claims", "can we say this", "is this puffery or a problem", or pastes marketing content (landing pages, emails, ads, taglines).
Copy the install command and let the AI configure it · recommended for beginners
Please install the "marketing-claims-review" skill from askskill: 1. Download https://raw.githubusercontent.com/anthropics/claude-for-legal/main/product-legal/skills/marketing-claims-review/SKILL.md 2. Save it as ~/.claude/skills/marketing-claims-review/SKILL.md 3. Reload skills and tell me it's ready
~/.claude/plugins/config/claude-for-legal/product-legal/CLAUDE.md → Marketing claims standards./product-legal:marketing-claims-review
[paste landing page copy]
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 /product-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/product-legal/matters/<matter-slug>/. Never read another matter's files unless Cross-matter context is on.
Marketing wants to say the product is the best. Legal needs it to be true, or at least not provably false. This skill finds the claims that will get a demand letter from a competitor or an inquiry from a regulator, and suggests how to keep the energy while fixing the exposure.
Read ~/.claude/plugins/config/claude-for-legal/product-legal/CLAUDE.md → ## Marketing claims:
Research the currently operative advertising and substantiation standards for the applicable jurisdictions and media (for example, FTC, NAD, state UDAP regimes, sector regulators for healthcare / financial / children's products, and platform-specific policies). Identify what substantiation the specific claim requires — who measured it, when, sample size, apples-to-apples basis — not just whether some substantiation exists on file. Flag implied claims and comparative claims for heightened scrutiny. Verify currency: endorsement and review guides have been updated recently and continue to evolve. Cite primary sources with pinpoint references. If you cannot verify the current standard, flag for attorney verification — do not state a rule you haven't confirmed.
Only cite the standards that apply to the specific claims under review. A blanket list of every FTC guideline, NAD practice note, or sector rule makes the load-bearing ones invisible. Do not cite the Endorsement Guides (16 CFR Part 255) unless the copy contains an endorsement, testimonial, or influencer content. Do not cite disclosure-overlay rules unless a claim in the asset triggers the overlay. Do not cite a sector regulator unless the copy targets or implicates that sector. A standard earns its place in the output by mapping to a specific quoted claim; otherwise drop it.
No silent supplement. If a research query to the configured legal research tool returns few or no results for the applicable standard (FTC rule, NAD decision, state UDAP, sector rule, platform policy), 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 [standard / jurisdiction]. 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.
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Ask questions against an open investigation log — what witnesses said, where accounts conflict, what gaps exist, what the strongest evidence is on each issue. Use when the attorney needs to query the investigation record without re-reading every entry.
EU AI Act per-system inventory — track each AI system's role (provider, deployer, importer, distributor, authorized representative, product manufacturer) and risk tier (prohibited, high-risk, limited, minimal, GPAI, GPAI+systemic). Role and tier are assessed per system, not per company. Use when the user says "ai inventory", "add an ai system", "what systems do we have", "classify this ai system", "eu ai act register", or "ai system registry".
Draft a firm AI usage policy from published model policies, adapted to your practice profile — a research-and-synthesis tool whose output is a draft for attorney review and adoption, not a finished policy. Use when user says "draft an AI policy", "we need an AI policy", "build an AI usage policy", "our firm needs a GenAI policy", or similar requests to generate a first-cut internal AI policy.
Review vendor AI terms — agreement, addendum, or ToS AI provisions — against your governance positions; flag training-on-data, liability, model changes, and AI policy consistency. Use when user says "review this AI agreement", "check OpenAI terms", "what did we agree to with [vendor]", "vendor sent an AI addendum", "is this AI contract okay", or attaches vendor AI terms.
Route a contract issue to the right approver per the escalation matrix in `~/.claude/plugins/config/claude-for-legal/commercial-legal/CLAUDE.md`, and draft the ask. Use when the user says "who needs to approve this", "escalate this", "does this need GC sign-off", "route this for approval", or when another skill finds an issue that exceeds the reviewer's authority.
Freedom-to-operate triage — a structured first look at potentially blocking patents, not an FTO opinion. Use when a product, process, or feature is being evaluated for blocking patents, when asked whether anything stops a launch, or to build a claim-chart first pass against the most plausible patents before patent counsel review. This skill never concludes a product is clear to launch.