We're building a highly realistic AI-powered courtroom training platform, helping law students, lawyers, and legal enthusiasts master trial skills through adversarial practice.
We believe the best way to learn trial advocacy is through real adversarial practice. Traditional methods — reading textbooks, memorizing statutes, watching trial videos — have their place, but they can't replicate the pressure of facing a judge's ruling or an opposing counsel's rebuttal in real-time. Our platform uses advanced AI to simulate the complete trial process (jury selection, opening statements, evidence presentation, cross-examination, closing arguments, jury instructions, deliberation, and verdict), allowing users to practice repeatedly in a safe environment and rapidly build courtroom skills.
We faithfully follow real courtroom procedures in our system design. Every phase replicates the rules and adversarial dynamics of a real court. The AI judge manages proceedings and rules on objections; AI opposing counsel rebuts your arguments in real-time; the jury selection phase supports challenges for cause and peremptory challenges. After trial, AI provides multi-dimensional scoring and improvement suggestions to help you precisely identify weak areas.
Jesper is a full-stack developer passionate about the intersection of law and technology. He built MockTrialOnline after observing a widespread problem: many law students and early-career lawyers lack real courtroom experience, while traditional moot courts require significant coordination and time. By combining AI technology with rigorous trial procedures, he created a training platform that's available anytime, allows unlimited practice, and provides professional feedback.
