The history of intellectual property law is a history of institutional adaptation to technological disruption. The printing press created the need for copyright. The industrial revolution necessitated modern patent frameworks. Digitization and artificial intelligence are now creating a new inflection point — and the legal infrastructure has not yet caught up to the risk landscape.
The AI Training Data Problem
The most significant emerging IP issue facing companies today is the legal status of AI training data. Large language models and generative AI systems are trained on vast datasets that frequently include copyrighted materials. Courts in multiple jurisdictions are currently adjudicating whether this constitutes infringement, and the outcomes will reshape how companies develop, deploy, and license AI systems.
“Every company deploying generative AI today is making an implicit legal bet about the outcome of cases that have not yet been decided. Understanding that bet is a matter of institutional governance.”
Trade Secret Vulnerabilities in Remote Work Environments
The shift to distributed work has fundamentally altered the threat profile for trade secret protection. Information that was once protected by physical proximity and access controls now travels across personal devices, home networks, and cloud storage systems that exist outside the company's security perimeter. The legal requirements for trade secret protection — including the obligation to take reasonable measures to maintain secrecy — must be re-evaluated in this context.
- Audit what information qualifies as a trade secret and where it currently resides
- Review employee agreements, contractor agreements, and NDA provisions for adequacy
- Implement technical controls proportionate to the sensitivity of the information
- Establish and enforce a data classification policy with meaningful consequences for violation
- Create documented procedures for off-boarding employees who had access to trade secrets
Copyright in the Age of Generative Content
The copyright status of AI-generated content remains unsettled. Current US Copyright Office guidance holds that purely AI-generated works lack the human authorship required for copyright protection. However, works with meaningful human creative input may qualify. Companies relying on AI-generated content for competitive purposes should assess the copyright exposure in their specific context.
An IP portfolio audit is no longer a periodic exercise. It is a continuous practice. The gap between when a vulnerability emerges and when it becomes material is closing as litigation pace accelerates.
Lexora Advisory
Intellectual Property Counsel
Lexora's IP practice combines deep technical expertise with commercial acumen to protect what your organization has built and enable what you intend to build.
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