March 3, 2026

AI and Security in Intellectual Property

Artificial intelligence is rapidly transforming patent search, prosecution, and litigation workflows.

But especially in intellectual property, innovation cannot come at the expense of confidentiality.

Law firms and in-house teams manage some of the most sensitive assets a company owns: unpublished invention disclosures, continuation strategies, portfolio monetization plans, and more. Patent work also often involves information that has not yet entered the public domain and may represent the foundation of future competitive advantage.

In this environment, AI adoption without enterprise-grade security is not just risky. It is unacceptable.

Modern IP teams require a platform that treats security as infrastructure, not an afterthought.

The Non-Negotiable: Data Privacy in the Age of AI

One of the most pressing concerns around AI adoption is data usage.

IP professionals must know with certainty that their confidential invention disclosures are not being retained, reused, or incorporated into external model training.

Patlytics provides a strict guarantee that customer data is never used to tune or train AI models. Proprietary materials remain private and isolated.

To reinforce this commitment, the platform maintains Zero Data Retention (ZDR) agreements with large language model providers. Sensitive data may be processed for analysis, but it is never stored or retained by external AI engines.

For patent teams evaluating AI tools, this distinction is critical.

Setting the Benchmark

Patlytics adheres to three globally recognized security certifications:

ISO 42001: The international standard for AI Management Systems. This certification specifically addresses governance, risk management, and oversight in AI systems.
ISO 27001: The leading global standard for information security management.
SOC 2 Type 2: Independent verification of security, availability, confidentiality, and operational controls over time.

Together, these certifications form a security foundation that aligns with the expectations of Fortune 500 legal departments and global law firms.

Encryption and Data Segregation

Beyond certifications, security must be embedded at the architectural level.

Patlytics encrypts all data both in transit and at rest. Customer information is stored in a segregated data architecture, meaning client data is never commingled.

Role-based access controls enforce least-privilege principles, ensuring that users only access the materials necessary for their work.

Reliability is also critical in litigation and prosecution environments. The platform maintains a 99.5% SLA uptime commitment to ensure continuity of mission-critical IP workflows.

Security is not only about preventing breaches. It is about ensuring availability, integrity, and reliability.

Granular Control: Managing Sensitive Work Internally

Enterprise security also requires internal governance tools. Patent strategies often involve varying levels of confidentiality across teams, matters, and jurisdictions.

Patlytics provides structural safeguards that allow organizations to manage visibility with precision.

Project Workspaces

Patents, drafts, and invention disclosures can be organized into discrete workspaces with strict permission controls. Teams can define exactly who has access to specific projects.

Unpublished Patent Support

Continuation drafts and strategic filings remain exclusively within their designated Project Workspace and are never surfaced in broader organizational views.