Official agent skill

Product Launch Legal Review

by anthropics in anthropics/claude-for-legal

Runs a category-by-category legal review of a product launch from a PRD or tracker ticket, calibrated to your team's framework, and writes a review memo in house format.

OfficialApache-2.0Auto-check passedLegal & Compliance

Install Product Launch Legal Review

skills CLI
$ npx skills add anthropics/claude-for-legal --skill launch-review -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install anthropics/claude-for-legal launch-review --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/anthropics/claude-for-legal.git skills-src && mkdir -p .claude/skills && cp -r skills-src/product-legal/skills/launch-review .claude/skills/launch-review && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
launch-review
GitHub stars
9.6k
Used in
2 other repos
Token cost
~5k tokens
SKILL.md length
2,180 words
Files
2 (incl. references)
Skills in repo
147
Repo updated
First seen
Licence
Apache-2.0

At a glance

Runs a category-by-category legal review of a product launch from a PRD or tracker ticket, calibrated to your team's framework, and writes a review memo in house format.

  • Works in 6 steps: Get the inputs → Understand what's launching → Walk the framework → …
  • Reviewing a PRD for legal issues before a feature ships
  • SKILL.md covers Matter context, Destination check, Purpose and Load calibration, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

The skill first loads your team's framework and risk calibration from the product-legal CLAUDE.md in the claude-for-legal plugin config, and stops if that file still holds placeholders. It then gathers the PRD and related documents, pulling the ticket and its comments when a tracker is connected, and walks through every category in the framework. A reference file, references/seven-category-framework.md, ships with it.

Each finding is calibrated against the team's table of what actually blocks a launch, and anything novel is flagged explicitly. The output is a review memo in house format, written so a product manager knows what must happen before shipping, with a summary posted back to the ticket if one is connected. Substantial marketing content is handed to marketing-claims-review, and findings needing depth go to feature-risk-assessment.

Before producing output, a destination check asks whether the target is inside the privilege circle. Public channels, company-wide lists, counterparties, vendors and clients can waive protection, so the skill offers a privileged version for legal only, a sanitized version for wider sharing, or both. Matter workspaces, when enabled, keep each matter's files separate.

When your agent uses it

  • Reviewing a PRD for legal issues before a feature ships
  • Answering whether a product can ship from a legal standpoint
  • Producing a review memo from a launch tracker ticket

Example prompts

  • “Review this launch: the PRD is in docs/export-feature-prd.md.”
  • “Can we ship the new referral program? Run the launch review on PROJ-1234.”
  • “What are the legal issues with the AI summary feature? Write the memo.”

Requirements

  • The claude-for-legal product-legal plugin with its CLAUDE.md filled in
  • Optionally a connected launch tracker

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. Get the inputs
  2. Understand what's launching
  3. Walk the framework
  4. Calibrate severity
  5. Assemble the review
  6. Produce BOTH outputs — the privileged memo AND the redacted ticket comment

What it can do on your machine

Read from SKILL.md and the folder at commit 4a6c651. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Product Launch Legal Review loads about 5k tokens when it runs, and up to ~6.3k if it reads all its reference files. Until then it costs about 77 tokens; SKILL.md has 2,180 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~77
When it runs · the whole SKILL.md, loaded when a task matches
~5k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~6.3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from anthropics/claude-for-legal at commit 4a6c651, republished under its Apache-2.0 licence (© anthropics). 2,180 words, ~4,965 tokens.

Download SKILL.mdSave it as .claude/skills/launch-review/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
launch-review
description
Full launch review against your framework and risk calibration. Use when the user says "review this launch", "legal review for [feature]", "can we ship this", "what are the legal issues with [product]", or references a launch tracker ticket or PRD that needs a category-by-category review memo.
argument-hint
[PRD file | Drive link | tracker ticket ID]

/launch-review

  1. Load ~/.claude/plugins/config/claude-for-legal/product-legal/CLAUDE.md → framework + calibration. Stop if placeholders.
  2. Get PRD + related docs. If tracker connected, pull ticket and comments.
  3. Walk every framework category using the workflow below.
  4. Calibrate each finding against the table. Novel = flag explicitly.
  5. Output review memo in house format. Post summary to ticket if connected.
  6. Hand off: marketing-claims-review if substantial marketing; feature-risk-assessment if a finding needs depth.
/product-legal:launch-review PROJ-1234

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 /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.


Destination check

Before producing output, check where it's going. If the user has named a destination (a channel, a distribution list, a counterparty, "everyone"), ask whether it's inside the privilege circle. Public channels, company-wide lists, counterparty/opposing counsel, vendors, and clients (for work product) waive the protection. When the destination looks outside the circle, flag it and offer (a) the privileged version for legal only, (b) a sanitized version for the broader channel, or (c) both — don't silently apply a privileged header and then help paste it somewhere the header won't protect it. See the canonical ## Shared guardrails → Destination check in this plugin's CLAUDE.md.

Purpose

Read the PRD, check every category in this team's framework, calibrate against what actually blocks here (per ~/.claude/plugins/config/claude-for-legal/product-legal/CLAUDE.md), and output a review in house format. Goal: a PM reads it and knows exactly what has to happen before they ship.

Load calibration

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

  • ## Review framework — the categories to check
  • ## Risk calibration — what blocks vs. what's FYI at this company
  • ## Launch review process — output format
  • ## Escalation — when to route up

The calibration table is the difference between this skill and a generic checklist. If the table says "new data collection → PIA, ships in 1-2 days," don't write "this might require a full DPIA and regulatory consultation." Match the team's actual practice.

Workflow

Step 1: Get the inputs
  • PRD — from file, Drive, or the launch tracker ticket
  • Spec/design doc — if separate
  • Marketing plan — if there is one (hands off to marketing-claims-review if substantial)
  • Launch date — for urgency calibration
  • Launch tracker ticket — if connected, pull it for context and comments

If Jira/Linear MCP is connected, pull the ticket history — often there's context in earlier comments that the PRD doesn't capture.

Step 2: Understand what's launching

Before the checklist, answer in plain English:

  • What does this thing do?
  • Who uses it — existing users, new users, a new segment?
  • What's new vs. what's an extension of something already reviewed?
  • Any new data, new vendors, new claims, new jurisdictions?

AI detection — run before the framework walk. Check whether this launch uses AI in any form: a third-party model, an internally built model, an AI-powered vendor feature, automated scoring or classification, generative content, recommendations, predictions. Look for this even if the PRD doesn't label it "AI" — words like "intelligent", "automated", "personalized", "generated", "suggested" are tells.

If AI component detected → flag it, then run /ai-governance-legal:use-case-triage [feature] alongside the framework walk. Category 8 below handles the detail; this flag ensures it's never skipped even if the PRD is vague.

Step 3: Walk the framework

For each category in ~/.claude/plugins/config/claude-for-legal/product-legal/CLAUDE.md → Review framework. If the team doesn't have one, use the 8-category default below. The categories are stable framing concepts; within each category, research the regulatory regimes applicable to the product's sector, audience, and jurisdictions before calibrating severity. What blocks in one jurisdiction or sector may be routine in another — ~/.claude/plugins/config/claude-for-legal/product-legal/CLAUDE.md captures the team's calibration.

#CategoryKey questionAuto-skip if
1Contractual commitmentsDoes this conflict with any customer-facing promise (ToS, SLA, marketing)?No customer-facing changes
2PrivacyNew data collection, new purpose, new sharing?No data changes
3SecurityNew attack surface, new data at rest, new access patterns?UI-only, no backend change
4IPThird-party code/content? Open-source license check? Outputs that could infringe?No new dependencies, no user-generated content
5Third-partyNew vendor, partner, or integration?No new external parties
6RegulatoryDoes this touch a regulated sector, audience, or jurisdiction? Research the applicable regimes.Same users, same sectors, same jurisdictions as existing product

No silent supplement. If a research query to the configured legal research tool (Westlaw, CourtListener, regulator sites, or firm platform) returns few or no results for a regime, enforcement precedent, or regulator guidance, 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 review 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., FTC Act § 5, GDPR Art. 33, CCPA § 1798.100). Still verify before relying on it to clear a launch, but lower priority.
  • [verify] — model-knowledge citations that are real but should be verified: specific implementing regulations, agency guidance, enforcement actions, case holdings, thresholds, effective dates, post-2023 amendments.
  • [verify-pinpoint] — pinpoint citations (specific subsection letters, volume/page numbers, paragraph numbers) carry the highest fabrication risk and should ALWAYS be verified against a primary source.

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

[platform policy — verify against live docs] — platform rules (Apple App Store Review Guidelines, Google Play policies, Meta / Snap / TikTok creator rules, ESRB / PEGI descriptors, card-network rules, app-store in-app-purchase policies) cited without fetching the live page. Never use [settled] for a platform policy — these change without notice and the model's snapshot is almost always stale. If the launch hinges on a platform rule, fetch the current policy page in-session before relying on it. | 7 | Marketing claims | Any claims that need substantiation? | No marketing component | | 8 | AI governance | Does this use AI in any form? Is the use case in the registry? AIA done? Vendor AI terms reviewed? | No AI component detected in Step 2 |

For each category, output:

markdown
### [N]. [Category]

**Checked:** [what you looked at]
**Finding:** [Clear | Needs work | Blocker | Skipped]
**Detail:** [what the issue is, if any — specific to the PRD, not generic]
**Calibration:** [per the config CLAUDE.md — this is usually an FYI / usually needs X / usually blocks]
**Action:** [what has to happen, who owns it, by when]

Auto-skip honestly. If a category doesn't apply, say so with a one-line reason. Don't pad.

Sector hints. The 8-category framework above is enterprise-SaaS-shaped. If the launch involves any of the sectors below, add the overlay: ask the overlay question alongside the base-framework question for each affected category, and surface the sector-specific regime before calibrating severity. A launch that checks all 8 boxes but misses a sector regime still ships with a hole.

SectorOverlay regimes to surface
Children / minorsCOPPA (US — operators of services directed to children under 13 or with actual knowledge), CA AADC / state age-appropriate design codes, platform age ratings (ESRB, PEGI), addictive-design scrutiny (NY Safe for Kids Act, CA SB 976 and analogs), FTC endorsement guides for kid-directed influencers
Gaming / loot boxes / in-game currencyLoot-box odds disclosure (CA AB 2476-style, Chinese / Korean / Belgian / Dutch regimes), ESRB / PEGI descriptors (In-Game Purchases, Loot Boxes, Real Gambling), state gambling law (games-of-chance vs. games-of-skill lines, sweepstakes promotions law), FTC dark-patterns guidance, platform-store policies (Apple, Google, console)
Financial / fintechGLBA (NPI, Safeguards Rule, Reg P), state money transmission licensing (MTLs across ~50 states + DC), CFPB UDAAP, state UDAP, bank-partner sponsorship requirements and "true lender" exposure, Reg E / Reg Z where applicable, FINRA if brokerage
HealthHIPAA (if CE or BA), FDA SaMD / clinical decision support / general wellness exemption, state health-privacy (WA MHMDA, NV SB 370, CT HIPAA-analog), FTC Health Breach Notification Rule for non-HIPAA entities
EducationFERPA (if school or school-acting service provider), state student-privacy (NY Ed Law 2-d, IL SOPPA, CA SOPIPA + AB 1584), COPPA if K-12 data under 13
Employment / HR techTitle VII, EEOC guidance on AI in hiring, ADA, state AI-hiring laws (IL AIVIA, NYC Local Law 144, CA / CO / UT / NJ analogs under consideration or enacted), state biometric laws (IL BIPA, TX / WA analogs) for video-interview and keystroke products, FCRA for background / verification products
Government / public sectorFedRAMP (Low / Moderate / High), FAR / DFARS, CMMC where applicable, state-level equivalents (StateRAMP), CJIS for law-enforcement data, IRS Publication 1075 for tax data, StateRAMP and state procurement rules
Consumer / retail / marketingFTC Act § 5, Made-in-USA rule, Green Guides, CAN-SPAM, TCPA (with TCPA-Shaken/Stir for calls), state auto-renewal (ROSCA, CA ARL, NY GBL § 527-a [consumer] or GOL § 5-903 [B2B services] — verify which applies), state sweepstakes/promotions law

If a sector hint fires and no dedicated category in the base framework covers it, insert it as a category (e.g., "6a. Sector overlay — children / COPPA + CA AADC"). Don't let it disappear into category 6 Regulatory as an afterthought; the sector regime often supplies the controlling floor, not a footnote.

Show full SKILL.md (632 more words)Show less
Step 4: Calibrate severity

For each finding, check against the calibration table in ~/.claude/plugins/config/claude-for-legal/product-legal/CLAUDE.md:

  • If it matches a "usually FYI" pattern → note it, don't block
  • If it matches "usually requires work" → specify the work, estimate timeline from the table
  • If it matches "usually blocks" → flag prominently, route per escalation table
  • If it's novel (not in the table) → say so explicitly: "This doesn't match any pattern in the calibration — needs a human call"
Step 5: Assemble the review

Format per ~/.claude/plugins/config/claude-for-legal/product-legal/CLAUDE.md → Launch review process → output format. Prepend the work-product header from ~/.claude/plugins/config/claude-for-legal/product-legal/CLAUDE.md ## Outputs (it differs by user role — see ## Who's using this). If no house format is specified:

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

# Launch Review: [Feature name]

**Reviewed:** [date] | **Launch date:** [date] | **Reviewer:** [name]
**PRD:** [link] | **Ticket:** [link if connected]

---

## Bottom line

[One paragraph: can this ship? What has to happen first?]

**Call:** [Clear to ship | Ship with conditions | Blocked pending X | Needs escalation]

> **Before emitting a "Clear to ship" or "Ship with conditions" call:** Read `## Who's using this` in `~/.claude/plugins/config/claude-for-legal/product-legal/CLAUDE.md`. If the Role is Non-lawyer:
>
> > Clearing a launch is a legal act — once the product ships, the company is committed to the legal posture documented here. Have you reviewed this with an attorney? If yes, proceed. If no, here's a brief to bring to them:
> >
> > [Generate a 1-page summary: the launch, the findings by category, any open questions, the residual risk after conditions, and the three things to ask the attorney before the launch goes out.]
> >
> > If you need to find a lawyer: your professional regulator's referral service is the fastest starting point (state bar in the US; SRA/Bar Standards Board in England & Wales; Law Society in Scotland/NI/Ireland/Canada/Australia; or your jurisdiction's equivalent).
>
> Do not proceed past this gate to a "Clear to ship" or "Ship with conditions" call without an explicit yes. "Blocked pending X" and "Needs escalation" do not require the gate — those are review calls, not clearances.

---

## Findings by category

[All the category blocks from Step 3 — skip-noted categories at the bottom]

---

## Action items

| # | Item | Owner | Due | Blocking? |
|---|---|---|---|---|
| 1 | [specific] | [PM/eng/legal] | [date] | Yes/No |

---

## Escalations

[If any — who, why, drafted per escalation skill]

---

## Notes for next time

[If this launch surfaced a pattern that should update the calibration table]

---

## Citation check

Any cases, statutes, regulations, or enforcement actions referenced in this review were generated by an AI model and have not been verified against a primary source. Before relying on a citation in a launch decision, verify it against a legal research tool (Westlaw, CourtListener, or your firm's research platform) for accuracy, good law status, and current enforcement posture. Fabricated or misquoted citations in launch reviews can steer the business wrong. Source tags on each citation (e.g., `[Westlaw]`, `[web search — verify]`) show where it came from; `verify` tags carry higher fabrication risk and should be checked first.
Step 6: Produce BOTH outputs — the privileged memo AND the redacted ticket comment

⚠️ Privilege warning: Posting the full privileged memo to a Jira/Linear ticket that is widely shared with engineering, PM, and other non-legal roles may waive privilege. Don't paste the full memo into a broadly-shared ticket.

Both of the following are REQUIRED outputs of this skill. Neither is optional. Print them in the order below, with a clear divider between them so the user cannot miss the redacted block.

Output 1 — Privileged launch review memo. The full analysis assembled in Step 5: work-product header, bottom line, findings by category with risk rationale, action items, escalations, notes for next time, citation check. This is internal legal work product. Keep it in your matter file (Drive, DMS, or wherever ~/.claude/plugins/config/claude-for-legal/product-legal/CLAUDE.md says review docs go). Distribute only to people inside the privilege circle.

Output 2 — Redacted ticket-comment block — SAFE TO POST TO TRACKER. After the memo, with a clear --- divider and the header ## SAFE TO POST TO TRACKER (non-privileged), produce a short comment block containing ONLY:

  • Launch status: green / yellow / red (i.e., Clear to ship / Ship with conditions / Blocked pending X / Needs escalation)
  • Conditions as action items: each condition is a bullet, written as an instruction to the PM/eng ("add PIA link to ticket before ship", "remove 'most accurate' language from homepage copy"). No legal reasoning.
  • Deadline per condition.
  • Owner per condition.

The redacted block contains NO work-product / privilege header, NO risk rationale, NO internal legal discussion, NO regulatory citations, NO escalation notes. If a condition's phrasing would leak the underlying legal theory ("retaliation risk"), rewrite it as the action ("route to GC before term date").

Example divider and block:

markdown
---

## SAFE TO POST TO TRACKER (non-privileged)

**Launch status:** Blocked pending conditions below.

**Conditions:**
- [ ] Attach completed PIA to ticket — Owner: [PM] — Due: [date]
- [ ] Remove "most accurate on the market" copy from homepage draft — Owner: [Marketing] — Due: [date]
- [ ] Confirm with GC before changing retention window — Owner: [PM] — Due: [date]

Paste Output 2 (and only Output 2) to the tracker. Link Output 1 only to the people inside the privilege circle who need to read the full analysis.

Handoffs

  • To marketing-claims-review: If there's a substantial marketing component, hand off the claims section.
  • To feature-risk-assessment: If a finding is complex enough to need its own doc (e.g., novel AI feature, children's product), spawn a deeper assessment.
  • To privacy: If the launch touches personal data, run /privacy-legal:use-case-triage [feature]. If triage returns PIA REQUIRED or DPIA MANDATORY, run /privacy-legal:pia-generation [feature]. Don't just note "PIA needed" — trigger it.
  • To AI governance: If an AI component was detected in Step 2, run /ai-governance-legal:use-case-triage [feature]. If triage returns CONDITIONAL, run /ai-governance-legal:aia-generation [feature]. If a new AI vendor is involved, run /ai-governance-legal:vendor-ai-review [vendor agreement].

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 replace a conversation with the PM. Often the PRD is wrong or out of date — the review surfaces questions, a human asks them.
  • It doesn't approve the launch. It informs the approval.
  • It doesn't retroactively calibrate. If this launch turns out fine (or badly) in a way that should update the calibration table, a human updates ~/.claude/plugins/config/claude-for-legal/product-legal/CLAUDE.md.

© anthropics, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file (references) in product-legal/skills/launch-review of anthropics/claude-for-legal.

  • SKILL.md
  • references/seven-category-framework.md

Open the folder on GitHubat commit 4a6c651

Used in 2 other repositories

We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in anthropics/claude-for-legal, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Product Launch Legal Review next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Product Launch Legal Review compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Product Launch Legal Review this skillanthropics/claude-for-legal9.6k2 repos~5kAutomated safety check: PassApache-2.0
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Legal Risk Visualizationzh-xx/legal-assistant-skills174—~2.4kAutomated safety check: PassApache-2.0
Design Submission CheckSeanJ1ang/design-judge-skills712—~2.8kAutomated safety check: PassApache-2.0
Deep Risk Analysiszubair-trabzada/ai-legal-claude1.8k—~1.9kAutomated safety check: PassNone
Canghe Tianyanchafreestylefly/canghe-skills461—~2.4kAutomated safety check: PassNone

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    Official

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    9.6k GitHub starsUsed in 2 repos~3.1k tokens
    Auto-check passed
  • EU AI Act System Inventory

    anthropics/claude-for-legal

    Official

    Maintains a register of AI systems under the EU AI Act, recording each system's role and risk tier separately, because both can differ from one system to the next.

    9.6k GitHub starsUsed in 3 repos~2.8k tokens
    Auto-check passed

Questions about Product Launch Legal Review

What does Product Launch Legal Review do?

Runs a category-by-category legal review of a product launch from a PRD or tracker ticket, calibrated to your team's framework, and writes a review memo in house format. md in the claude-for-legal plugin config, and stops if that file still holds placeholders. It then gathers the PRD and related documents, pulling the ticket and its comments when a tracker is connected, and walks through every category in the framework.

When should I use Product Launch Legal Review?

Product Launch Legal Review fits situations like: reviewing a PRD for legal issues before a feature ships; answering whether a product can ship from a legal standpoint; producing a review memo from a launch tracker ticket.

How do I install Product Launch Legal Review in Claude Code?

Run `npx skills add anthropics/claude-for-legal --skill launch-review -a claude-code`. Or copy the skill folder (product-legal/skills/launch-review in anthropics/claude-for-legal) into .claude/skills/launch-review in your project. Claude Code loads it when a task matches its description.

How do I install Product Launch Legal Review in Codex?

Run `npx skills add anthropics/claude-for-legal --skill launch-review -a codex`. Or copy the skill folder (product-legal/skills/launch-review in anthropics/claude-for-legal) into .agents/skills/launch-review in your project. Codex loads it when a task matches its description.

Can I use Product Launch Legal Review in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add anthropics/claude-for-legal --skill launch-review -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/launch-review, .gemini/skills/launch-review, .github/skills/launch-review and .opencode/skills/launch-review in your project.

What does Product Launch Legal Review need to run?

SKILL.md names no scripts, command-line tools or credentials: Product Launch Legal Review is instructions for the agent only. Our summary lists: The claude-for-legal product-legal plugin with its CLAUDE.md filled in; Optionally a connected launch tracker.

Does Product Launch Legal Review access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Product Launch Legal Review safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Product Launch Legal Review use?

Product Launch Legal Review is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Product Launch Legal Review use?

About 5k tokens (SKILL.md is roughly 20k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.3k tokens, read only when the agent opens those files.

What are the alternatives to Product Launch Legal Review?

Skills that share tags, products or a category with Product Launch Legal Review: Eu AI Act Readiness (seb1n/awesome-ai-agent-skills, 206 stars), Legal Risk Visualization (zh-xx/legal-assistant-skills, 174 stars), Design Submission Check (SeanJ1ang/design-judge-skills, 712 stars) and Deep Risk Analysis (zubair-trabzada/ai-legal-claude, 1.8k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Product Launch Legal Review?

anthropics (a GitHub organization, an official publisher) maintains it in anthropics/claude-for-legal, which has 9,633 GitHub stars. The repository holds 147 skills in this directory. The repository was last updated on September 29, 2026.

Source: anthropics/claude-for-legal on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.