Empath Legal
AI-Powered Juror Insights | Make Informed Decisions in the Courtroom
Our Mission
Intelligent Juror Analysis
We leverage AI to analyze publicly available data about prospective jurors within the context of your specific case, providing you with deeper insights into how jurors may perceive your arguments.
Strategic Decision Making
Our platform transforms raw data into clear, actionable insights about each juror’s attitudes, experiences, and potential biases, helping you make strategic decisions during jury selection.
Designed For Legal Professionals
Built by lawyers for lawyers, our intuitive platform requires no technical expertise. We’ve prioritized ease of use so you can focus on what matters most - building your strongest case.
Transform Your Jury Selection Process
Our AI-driven platform delivers powerful insights to help you build the most favorable jury for your case.
Comprehensive Juror Profiles
Our system synthesizes available public data to create comprehensive profiles that highlight key factors relevant to your case.
Time-Saving Automation
Focus on case preparation while our AI handles the gathering, analysis, and interpretation of juror information, saving you countless hours of research.
Strategic Advantage
Enter the courtroom with confidence backed by data-driven insights that your opposition may not have access to.
Bias Identification
Quickly identify potential biases that could impact how jurors perceive the facts of your case, allowing for more informed jury selection decisions.
Our Team
Grant Schexnailder
President/FounderGrant is a licensed Louisiana lawyer and a graduate of Southern University Law Center. Since graduating from SULC, Grant has practiced in Lafayette, LA. His practice remains in municipal defense litigation, whereby he represents cities and towns throughout the state of Louisiana. Grant is a recipient of the 2023 Louisiana Bar Association Top 40 Under 40 award.
Shane (Xingeng) Zhang
CEO/ FounderShane is an AI engineer with over 5 years of experience in Generative AI. He is a graduate of Rutgers University and holds a Masters degree in Computer Science - Machine Learning.Shane has successfully designed and implemented advanced Generative AI solutions, notably enhancing performance and scalability in production environments at Citigroup Inc.