Courtroom today announced its public launch and pre-seed funding, introducing a new category of litigation technology: AI jury and judge simulation for real-time case development and strategy from pre-filing through trial.
Neo and Precursor Ventures led Courtroom’s pre-seed round, with participation from Rel Labs, Relativity’s investment arm. Strategic angels in the round include Craig Glidden, Scott Mozarsky, Doak Bishop, members of technical staff at OpenAI, Baretz+Brunelle and LexFusion, its innovation portfolio, and others.
The reality of high-stakes litigation — billion-dollar disputes, landmark patent fights, mass tort exposure — is one of relentless preparation with limited visibility into what matters to the ultimate decision-makers. When a trial approaches, firms routinely bring in specialized trial counsel and retain jury consultants. Yet even then, litigation teams still walk into the courtroom having had limited opportunities to test how their arguments, their witnesses, and their case narrative will land with the jury and judge in front of them.
Courtroom was built to answer the core question every litigation team actually builds toward: how do you shape and present the case to obtain the best possible result from the people who ultimately decide it?
The platform enables litigation teams to instantly run private simulations of real courtroom decision-makers, incorporating juror and judge perspectives into case strategy in real time from Day 1. Using patent-pending technology with over 90% accuracy, Courtroom’s simulations draw from actual decision-maker data, litigation context, and firm-specific case materials, a purpose-built approach that distinguishes it sharply from general-purpose AI tools applied to legal work. Teams can run scenarios across arguments, damages theories, and case narratives to sharpen case strategy at every stage of a matter, and access a level of jury research that has historically been out of reach for all but the most resource-intensive matters.
“Courtroom closes the gap between litigators’ preparation and the decision-makers who will actually determine their clients’ outcomes,” said Elizabeth Grabowski Parikh, co-founder and CEO. Grabowski Parikh holds a J.D. from Stanford Law School and began her career at Kirkland & Ellis before leading strategy for a unicorn startup through hypergrowth and successful bet-the-company litigation.
“We’ve seen firsthand that even the most experienced trial teams are to some degree forced to prepare in the dark. Courtroom gives litigators feedback from their jury and judge from the very beginning to the very end,” said Dan Gallipeau, Ph.D., co-founder and Chief Strategy Officer. Gallipeau brings 40 years and more than 1,000 cases of nationwide litigation experience to Courtroom. He is also co-founder and President of Dispute Dynamics, Inc., one of the country’s preeminent trial strategy practices, advising on matters spanning tens of billions of dollars in aggregate liability.
The platform is currently in use by AmLaw 100 firms and Fortune 1000 corporations across products liability, patent infringement, mass torts, and multidistrict litigation matters.
About Courtroom
Courtroom builds AI simulation technology for litigation and trial teams preparing for high-stakes disputes. The platform gives litigators something they have never had before: real-world continuous feedback on how arguments, facts, witnesses, damages theories, and case narratives will land with the jurors and judges who actually decide, from initial case theory through trial. The platform is trusted by AmLaw 100 firms and Fortune 1000 corporations across some of the most consequential litigation in the country. Learn more at courtroom.ai.
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