From invention disclosures and technical documents to application drafts and portfolio decisions, Patentext uses enterprise-grade security controls to keep confidential IP data protected across the patent workflow.
Patent work often begins before an invention is public, filed, or fully documented. That makes confidentiality critical from the first disclosure through drafting, review, filing, and portfolio management.
Patentext maintains recognized security and compliance certifications to support enterprise customers and confidential IP workflows.
Patentext has completed SOC 2 Type I and Type II audits, demonstrating that our controls are designed and operating effectively across key trust service criteria.
Patentext is certified to ISO/IEC 27001:2022, the international standard for information security management systems.
Patentext is designed with privacy and data protection principles that support alignment with GDPR and CCPA requirements.
Patentext does not use customer uploads, invention disclosures, application drafts, outputs, or portfolio data to train AI models.
Your confidential invention data is never repurposed, shared, or used to improve third-party models. AI is used to support your workflow, not to extract value from your data.
Patentext maintains strict Zero Data Retention policies with model providers.
That means inputs, outputs, and related metadata sent to supported AI providers are not stored, reviewed, or retained by those providers after processing.
Patentext protects data using encryption across the platform.
Data is encrypted in transit using TLS 1.3.
Data is encrypted at rest using block-level AES-XTS encryption.