Elena Vance is a veteran IP litigator with over two decades of experience at the intersection of Artificial Intelligence and federal patent law. She focuses on high-stakes litigation, portfolio design, and strategic counseling for companies developing foundational machine learning models. Elena is widely recognized for her ability to translate abstract algorithmic concepts into case-dispositive legal arguments.

Representative Matters:

• Generative AI Training Data: Represented a leading LLM developer in a multi-district copyright and patent infringement suit regarding data scraping methodologies. Successfully argued that the model's weight adjustments constituted a transformative process, leading to a favorable summary judgment.

• Computer Vision Patent Defense: On behalf of a Silicon Valley unicorn, Elena led the defense against a "patent troll" asserting broad claims over facial recognition logic. She developed a Section 101 "abstract idea" challenge that resulted in the complete invalidation of the plaintiff’s core patents.

• Neural Network Architecture: Facilitated the design and global filing strategy for an autonomous vehicle company’s sensor-fusion patent portfolio, increasing the company's valuation by 40% prior to its Series D funding.