New AI Research Breakthrough Aims to Bring Rigor — and Fairness — to Jury Selection
ncarol.com/10322964

WILMINGTON, N.C. - ncarol.com -- WILMINGTON, N.C. —As public defenders and small litigation teams face increasing caseloads and limited access to analytical resources in an increasingly data driven world, a new artificial-intelligence research project is offering a data-driven alternative to some of the most intuition-driven aspects of trial practice, including jury selection and pre-trial strategy.

Developed by an interdisciplinary team of Silicon Valley AI researchers, professional jury consultants, and lawyers, the project introduces an interpretable AI system that brings data-driven analysis to jury selection and trial preparation. The research, published on arXiv,  will be presented in March 2026 at the ACM Symposium on Law and Computer Science at UC Berkeley.

Researchers built the system using responses from more than 400 mock jurors who reviewed the same case and rendered verdicts. The AI analyzes those responses to help predict how future jurors may decide and to show which themes or arguments tend to resonate with different groups of jurors.

More on ncarol.com

• Boston Industrial Solutions Introduces High-Performance Primer for Bonding Liquid Silicone to Epoxy
• New Comprehensive Guide Unveils the Ultimate Masterlist of Government-Approved Business Funding
• Healthcare Leaders Publish New Integrated Behavioral Healthcare Guide, Led by Doctors of Behavioral Health
• Marketing Company Helps Local Businesses Stop Renting Leads and Start Building A Permanent System
• Verbica Challenges Panetta to a Televised Debate on the Issues

In controlled evaluations, the AI system outperformed experienced trial consultants who assessed the same juror profiles under identical informational constraints. Unlike traditional jury consulting, the system is designed to be transparent, allowing attorneys to see which juror responses and questions carry the greatest predictive value. Ashwin Murthy, a Silicon Valley–based AI engineer who led the research, said the tool is intended to support—not replace—human judgment, particularly for litigants who lack access to costly trial consulting services.

Beyond jury selection, the system can also be used for data-driven trial preparation, including testing which legal theories resonate with different juror groups, examining the reasoning patterns behind juror decisions, and estimating potential damages in civil cases to help attorneys refine trial strategy.

Trial consulting often costs tens of thousands of dollars per case, putting it out of reach for most public defenders, said Lisa Pyle, a former Bronx prosecutor with more than 22 years of experience. AI-based decision-support tools, she said, could give public-interest litigators access to data-driven insights that have traditionally been available only to well-funded parties.

More on ncarol.com

• Salt Lake City Families Turn to Private Autopsy Services for Faster Answers After Unexpected Loss
• K2 Integrity's U.S. and EMEA Teams Again Recognized in Chambers and Partners 2026 Guides
• Connecta Satellite Solutions Ready to Support Emergency Communications Following the Venezuela Earthquake
• Rare 1933 Harold Weston painting will be auctioned to benefit the Keene Valley Library
• $20 Million Revenue Target, Accelerating Growth, 7% Of Outstanding Shares Retired, Clear Path Toward Profitability: VSee Health, Inc N A S D A Q: VSEE

Beyond litigation, the tool is currently used in law school settings for hands-on jury selection exercises, giving students an opportunity to evaluate juror questionnaires in a data driven manner.

The researchers are now seeking collaborations with litigators to test the system in real-world settings, with an emphasis on public-interest cases. See the original article at https://lawsonmediapub.com/blogs/news/acm-symposium-on-computer-science-and-law-features-ai-jury-selection-research