AI and the Future of Jury Selection: How Artificial Intelligence Could Change the Criminal Trial Process

Artificial intelligence (AI) is rapidly entering jury selection through tools that (i) mine publicly available digital traces, (ii) score prospective jurors with predictive analytics, and (iii) generate voir dire strategies and juror “profiles.” These capabilities promise speed and strategic precision, but they also amplify longstanding constitutional and ethical tensions in criminal trials: discriminatory peremptory challenges, opaque decision-making, juror privacy, and unequal access to sophisticated litigation technology. This paper analyzes how AI-driven jury selection could reshape the criminal trial process under U.S. constitutional doctrine and professional responsibility rules, with particular attention to Equal Protection limits on peremptory strikes (Batson) and emerging bar guidance about AI-assisted discrimination. Drawing on a doctrinal and socio-technical framework, the paper identifies four major risk pathways—data bias, proxy discrimination, automation overreliance, and digital surveillance—and proposes governance and procedural safeguards: tool transparency and auditing, “AI-use” disclosures, strengthened Batson enforcement through recordkeeping, privacy-preserving limits on juror monitoring, and court-led standards for permissible AI-assisted juror research. The paper argues that the most likely near-term future is not “AI replacing lawyers in voir dire,” but AI shifting the information asymmetry of jury selection in ways that could alter who sits on juries, how challenges are justified, and how courts police discrimination.