Viewpoints.ai is built by Stanford media psychologists who spent their careers measuring how people respond to evidence, messages, and stories. That science now powers simulated juries for trial teams and insurers, and simulated audience panels for consumer research.
For decades, knowing how an audience would react meant recruiting panels, fielding surveys, and waiting weeks for results that answered one question at a time. Our team spent those decades running that research, at Stanford and inside companies like Google, Waymo, and Microsoft Research, and watched decisions get made without it because the answers arrived after the deadline.
Viewpoints.ai turns that experience into simulated jurors and audiences: research-grade personas grounded in media psychology and marketing science. In a published validation study, their responses matched human study results 88% of the time. In March 2026, at DRI’s trial-strategies seminar in Nashville, a live mock jury and a simulated panel heard the same case and reached the same defense majority. Trial teams now use the platform to test full cases before trial, and marketing teams use the same engine to test ads, concepts, and messages, with same-day results. The method is protected by U.S. Patent No. 12,699,820, “Generating artificial intelligence subjects and media stimuli to simulate and predict human responses,” granted in August 2026.
Leo founded Viewpoints.ai after 12+ years leading research at Vine, Google, Waymo, VMware, and Toyota. At Waymo he led quantitative research to embed psychological understanding of humans in self-driving cars, where his work was awarded U.S. Patent No. 11,022,452.
Leo and Professor Byron Reeves were invited to the first-ever “Human vs. Machine Mock Trial” at DRI’s 2026 Advanced Litigation and Trial Strategies Seminar to demonstrate how jury simulation can be used to prepare trial strategy, and the head-to-head was published in For The Defense.
He holds a Stanford Ph.D. in Human-Computer Interaction. His media psychology research has been cited over 2,700 times and has been covered in Sports Illustrated, Psychology Today, and CNBC.
Jim is a media psychologist whose research has involved more than 12,000 participants and received over 4,000 citations. His work focuses on how people perceive, interpret, and respond to media and emerging technologies. He earned his Ph.D. in Communication at Stanford University and tenure as a professor of emerging media.
He has led applied research for Meta and Cisco, as well as UX research at Google X. At Viewpoints.ai, Jim leads product development, bringing nearly two decades of experience studying human psychology to the design and validation of AI simulations of audience response.
Stanford Professor who is a founder of the field of Media Psychology. He is the author of 200+ scientific publications, including the seminal, award-winning book about computing and psychology (The Media Equation) that is used extensively in computer science and psychology programs, and for product innovation in human-computer interaction.
Byron is the author of numerous patents about computing and psychology, and he has worked extensively with startups and large companies, including two years with Microsoft Research, to develop and market human simulation computing products in marketing, law, customer service, health, and organizational behavior.
Avery served as SVP and General Counsel of the AAA Automobile Club of Southern California and its Interinsurance Exchange from 2002 to 2019, supervising more than 100 in-house attorneys and staff across transactional, regulatory, corporate governance, and litigation matters, including all class action, employment, and insurance claims litigation.
Previously a partner at O'Melveny & Myers, he is a graduate of the UCLA School of Law, where he served on the UCLA Law Review and was elected to the Order of the Coif, and holds a BS in Economics from Wharton. He taught as an Adjunct Professor of Law at UC Irvine from 2012 to 2015.
The science behind our platform
Empirical replication of 133 published human-study results
Persona responses matched human results in 88% of medium and large effects, with matching statistical significance. That is equal to or better than human-study replication rates.
Read the paper →DRI's For The Defense · by Byron Reeves and Leo Yeykelis
The first public head-to-head between a live mock jury and a simulated panel on the same case. Both reached the same defense majority.
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