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Review landing page copy for legal disclosure issues

An in-house lawyer uses a review agent to inspect new landing page copy and flag disclosure issues before it reaches them, alongside other drafting and research tools.

Done with a custom-built or unnamed agent

What they did
The Reddit post is an in-house lawyer’s roundup of AI tools they already use for drafting, review, and research, plus a note that they want help checking marketing materials such as landing pages for consumer-protection compliance. The specific landing-page review agent appears only in a comment, which suggests a custom AI agent trained on ROSCA and related rules that marketing would submit copy to before legal review, so it could flag issues like negative-option language or unclear disclosures.
How it went
The thread gives no evidence that this review agent was actually built or used, and it reports no results, accuracy figures, or workflow metrics for it. What it does show is demand for that kind of pre-screening alongside the poster’s existing legal AI stack.
Worth knowing
This use case is only a suggestion in the comments, not a documented implementation, so the thread offers no concrete build steps, costs, or performance data.

Try it yourself with Claude

Act as a legal reviewer for marketing copy. Read the landing page text I paste below and flag any claims, missing disclosures, or wording that could raise issues under [jurisdiction or regulation, e.g. FTC, GDPR, financial promotion rules]. For each issue, quote the line, explain the concern, and suggest compliant wording, then give a pass or needs-changes verdict. Copy: [paste landing page copy]

Want help getting this working? Join the Vibe Coding Academy ↗ Run by Alex Finn, who also runs this site.

Read the original ↗

Source: Reddit · Undated

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