Puja is a seasoned trial attorney with over a decade of experience representing emerging and established companies on both sides of the “v” in high-stakes and bet-the-company intellectual property litigation and complex commercial disputes. With a focus on patent, copyright and trade secret litigation, Puja has a proven track record of success helping clients in the generative artificial intelligence, life sciences, medical device, software and broader technology sectors resolve issues in federal court, at arbitration and before the Patent and Trademark Office.
Intellectual Property Litigation Practice
Known for distilling complex technologies into compelling, accessible narratives for judges and juries, Puja excels at bridging the gap between technical depth and clarity—whether examining inventors and developers at trial, developing a targeted discovery strategy, or strategizing how to explain the nuances of generative AI outputs in major dispositive motions. Clients value Puja's calm under pressure, creative advocacy and ability to cut through complexity to deliver persuasive, business-aligned solutions.
Complex Commercial Disputes
Trained as a commercial litigator with IP issues as one aspect of her practice, Puja has broad-based knowledge and experience in a variety of litigation including breach of contract, breach of fiduciary duty, trade secret misappropriation, and white-collar matters.
Puja has led case teams from discovery through trial, managed multijurisdictional litigation and is frequently called upon for her oral advocacy skills in pivotal moments. Recently, her in-court examinations resulted in a trial victory on behalf of a medical device manufacturer in a billion-dollar patent dispute against its global competitor, and she obtained a permanent injunction to protect a major technology company’s copyrights and trade secrets. Puja has also been at the forefront of driving litigation to establish the bounds of copyright fair use as applied to generative AI, she has deposed dozens of fact and expert witnesses, and she has argued key dispositive motions. She is recognized for building enduring client relationships grounded in trust, strategic judgment and a proven track record of success.
Prior to joining Benesch, Puja worked at Keker, Van Nest & Peters and Latham & Watkins. She clerked for Judge John K. Bush for the U.S. Court of Appeals for the Sixth Circuit and Chief Judge Theresa Springmann of the U.S. District Court for the Northern District of Indiana. She earned her J.D. from Cornell Law School and graduated with honors from the University of Notre Dame. She has been recognized in Best Lawyers in America: Ones to Watch – Commercial Litigation (2025, 2026) and as an LCLD Pathfinder. Puja is also committed to pro bono work, recently securing a favorable settlement on the verge of trial for a pre-trial detainee in an excessive force case against the City and County of San Francisco.
Representative Matters:
- Defended a major medical device manufacturer in the District of Delaware against its global competitor, where the competitor asserted a dozen patents targeting the accused product. Narrowed the case to four patents prior to trial, including by invalidating a patent at summary judgment. Secured a win following a two-week trial after the jury invalidated another asserted patent, found no infringement for two patents, and the court declined to let the jury consider damages on the remaining patent.*
- Represented a major technology company in a plaintiff-side copyright lawsuit against its competitor. After filing the complaint alleging claims under the Copyright Act, Texas Harmful Access to Computers Act, and Digital Millenium Copyright Act, the defendant stipulated to a comprehensive permanent injunction under which the company agreed not to scrape, display, publish, reproduce or distribute any copies or derivatives of the company’s copyrighted images.*
- Served as lead trial counsel in a series of multi-district copyright lawsuits against a major generative AI company that will establish the boundaries of copyright fair use as applied to generative AI.*
*Matter completed prior to joining Benesch.