Disclaimer
Effective Date: March 2026 · Last Updated: March 17, 2026
Our Commitment to Transparency
We believe in transparency — including about our own methodology and limitations. This disclaimer explains what PrivacyPeep does, how it works, and where its boundaries are.
Opinion, Not Fact
All scores, grades, and findings produced by PrivacyPeep are expressions of automated opinion based on pattern-matching algorithms. They are not statements of fact, legal conclusions, or regulatory determinations.
These opinions are generated by comparing policy text against predefined patterns and are protected speech under the First Amendment of the United States Constitution (for U.S. context) and analogous legal protections in other jurisdictions.
A score is a structured opinion about what a policy document says. It is not a verdict on a company's character, legality, or ethics.
Not Legal Advice
PrivacyPeep is not a law firm. Its creators are not acting as your attorneys. No attorney-client relationship is formed by using this tool.
If you need legal advice about a privacy policy, data protection compliance, or your rights under privacy law, consult a licensed attorney in your jurisdiction.
PrivacyPeep is a starting point for awareness, not a substitute for professional legal counsel.
No Affiliation
PrivacyPeep is not affiliated with, endorsed by, sponsored by, or associated with any company whose privacy policy is analyzed or displayed on the site.
Company names, logos, and trademarks belong to their respective owners. Their appearance in PrivacyPeep is for identification and commentary purposes only, consistent with nominative fair use.
PrivacyPeep does not imply any relationship, partnership, or endorsement with any analyzed company.
Methodology Transparency
Scores are generated by matching policy text against approximately 100 predefined patterns. These patterns are based on:
- Publicly available legal frameworks including the General Data Protection Regulation (GDPR), the California Consumer Privacy Act (CCPA), the Health Insurance Portability and Accountability Act (HIPAA), and the Biometric Information Privacy Act (BIPA)
- Consumer rights best practices and industry standards
- Common privacy policy language and its real-world implications
The methodology is deterministic and reproducible: the same policy text always produces the same score. There is no randomness, no machine learning inference, and no subjective human judgment in the scoring process.
Findings are categorized by severity (critical, warning, informational, positive) and grouped across six dimensions: Data Collection, Data Sharing, Data Retention, User Rights, Transparency, and Security.
Limitations
PrivacyPeep has meaningful limitations that users should understand:
- Legal nuance: The tool cannot interpret context-dependent legal language, interpret jurisdiction-specific requirements, or assess contractual relationships between parties.
- Practice vs. policy: A score reflects what a policy document states, not what a company actually does. A company may have better (or worse) practices than its policy suggests.
- Pattern coverage: The pattern library is comprehensive but not exhaustive. Issues phrased in unusual ways may not be detected.
- Language: The tool is designed for English-language privacy policies. Accuracy on translated or non-English policies may be reduced.
- Temporal accuracy: Policies change over time. A score reflects the text as provided at the moment of analysis, not a continuously monitored state.
Fair Use and Fair Comment
Analysis of publicly available privacy policies constitutes fair comment on matters of public interest. Privacy policies are documents published by companies and directed at the general public. They are intended to be read, understood, and evaluated by the people who are bound by them.
PrivacyPeep's analysis serves a legitimate public interest in:
- Consumer protection and informed decision-making
- Transparency and accountability for data practices
- Public education about privacy rights and risks
- Enabling comparison between privacy practices across services
This analysis is transformative in nature: it converts lengthy legal text into an accessible, structured evaluation.
No Guarantee
Scores may not capture every issue in a policy. The pattern library is updated periodically but may not reflect the most recent regulatory changes or emerging privacy practices.
A high score does not guarantee that a policy is legally compliant, ethically sound, or that a company handles data responsibly. A low score does not guarantee that a company is acting unlawfully or irresponsibly.
Users should treat scores as one data point among many when evaluating a service's privacy practices.
Showcase and Example Scores
Pre-scored company examples displayed in the Showcase section of the site are illustrative examples based on publicly known privacy practices of those companies. They are clearly labeled as examples and do not represent live, real-time analysis of current policy text.
These illustrative scores are based on the general public knowledge of each company's privacy practices as of the date of publication. Actual policy text may yield different results.
Dispute and Correction
If any company believes their Showcase score is inaccurate or their representation on PrivacyPeep is unfair, we welcome the conversation. We are committed to accuracy and fairness.
To request a review, correction, or removal of a Showcase entry, contact:
Cast Rock Innovation L.L.C.
d/b/a Cast Net Technology
Email: disputes@castnettechnology.com
We will acknowledge all inquiries within 5 business days and will review any specific concerns in good faith.
Contact
For general questions about this disclaimer or PrivacyPeep's methodology:
Cast Rock Innovation L.L.C.
d/b/a Cast Net Technology
Email: legal@castnettechnology.com