FAIRLOOP · GOVERNING DISCLAIMER
Disclaimer
Reclause is an automated, educational information tool. It describes what publicly available US state subscription auto-renewal ("ARL" / "negative-option") statutes address, based solely on the answers you provide and on an openly published, dated dataset of statutory requirements.
It is not a determination of compliance
Reclause never states that any business is, or is not, compliant with or in violation of any law. Its results identify potential points to review and link you to the underlying statute so you can read the text yourself. Every result is one of three honest things: a potential gap, an item worth review, or something you reported as likely addressed. None of those is a verdict.
It may be incomplete or out of date
Laws change frequently, vary by jurisdiction, and apply to facts that a short questionnaire and a static dataset cannot capture. Statutes are also subject to interpretation, enforcement discretion, and litigation. The dataset is research-grade. It is reviewed against sources and dated, and you should verify anything that matters against the primary source we link.
Use at your own risk
Penguin Alley and the authors make no warranty as to accuracy, completeness, or fitness for any purpose, and accept no liability for any decision made or action taken in reliance on the tool or the dataset.
Consult a qualified attorney
Before relying on anything here, consult a qualified attorney licensed in the relevant jurisdiction. Reclause is meant to make that conversation faster and cheaper, not to replace it.
About the optional implementation service
The optional Penguin Alley implementation service is technical work. It covers the engineering and UX changes to a website's signup, consent, and cancellation flow, performed to a specification provided by you or your legal counsel. It is not legal advice, legal representation, or a compliance guarantee. Talk to us →
By using Reclause or the dataset, you acknowledge and accept this disclaimer.
Want the detail on how the engine and dataset work? Read the methodology, or head back home.