In recent years, with generative artificial intelligence (AI) becoming increasingly prevalent, the question of lawfully protecting innovations has become a complex issue. Coming into the spotlight is trade secret law as a potential means of safeguarding these innovations.
As suggested by experts such as Joshua Lerner and Nora Passamaneck at WilmerHale in their recent discussion on legal complexities of AI and trade secrets, the attractive proposition lies in the broad applicability of trade secret law.
However, there remains a catch. Trade secret protection may extend to all types of information, but the breadth of its coverage can complicate the process of identifying proprietary information and subsequently dealing with its potential misappropriation, as per Lerner and Passamaneck.
AI, with its vast and continually evolving nature, adds another level of complexity to the task of managing and protecting trade secrets, making the identification and prosecution of misappropriation even more difficult. As the field of AI continues to surge, resolving these tangled legal issues will demand targeted solutions – a challenge that legal teams across industries are grappling with.