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October 7, 2026

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Employee using an AI tool beside a folder labeled “Proprietary Product Roadmap,” illustrating how confidential business information shared with AI may create new trade secret and evidence risks.
POP LEGAL
October 7, 2026

AI, Trade Secrets And The Disappearing Evidence Trail

Artificial intelligence is creating a new challenge for employers seeking to protect confidential information and trade secrets. Traditionally, when an employee improperly took company information, employers could often identify evidence such as downloaded files, forwarded emails, USB transfers, or documents saved to personal devices. AI may make that evidence trail far less obvious.

As discussed in a recent Legal Intelligencer article, employees increasingly interact with AI tools throughout their workday. Over time, an AI system may accumulate context about a company's strategies, processes, customers, pricing, products, or other sensitive information—even where an employee never downloads or copies a particular confidential document.

This creates a significant issue when an employee leaves for a competitor. An employer investigating potential trade secret misappropriation may traditionally search the employee's computer, email, cloud storage, or download history. But if confidential knowledge has been repeatedly entered into or developed through an AI platform, there may be no obvious file transfer to identify.

For employers, the issue is especially important because trade secret protection generally depends in part on whether the company took reasonable measures to protect the secrecy of its information. AI governance should therefore increasingly be viewed as part of an organization's broader information-security and trade-secret strategy.

Employers should consider:

  • Establishing clear policies governing what information employees may enter into AI platforms;
  • Restricting the use of confidential, proprietary, customer, financial, and strategic information with unauthorized AI tools;
  • Using approved enterprise AI platforms with appropriate security and data-retention protections;
  • Training employees on the risks of sharing company information with AI systems;
  • Reviewing AI usage as part of employee onboarding and departure procedures; and
  • Updating confidentiality agreements and information-security policies to specifically address AI.

The broader takeaway is that protecting trade secrets can no longer focus solely on preventing employees from taking documents. Employers should consider how sensitive information is being used within AI systems and whether existing policies, technical controls, and offboarding procedures adequately address this emerging risk.

As AI becomes integrated into everyday business operations, employers that establish clear AI governance policies now will be better positioned both to protect confidential information and to demonstrate that they took reasonable steps to safeguard their trade secrets.

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The Outside Legal Team

Outside Legal Counsel LLP advises employers, executives, and boards on workplace AI policies, confidentiality and trade secret protections, restrictive covenants, employment agreements, employee departures, and strategies to minimize employment-related risk. Contact us today.

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This newsletter is for informational purposes only, is not legal advice, and may be considered attorney advertising.

#ArtificialIntelligence #TradeSecrets #AIGovernance #EmploymentLaw #Confidentiality #RiskManagement

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