This week's episode covers three posts on evaluating jury selection technology and building a defensible voir dire record.
AI Jury Selection Software Buyer's Guide: A Trial-Lawyer Test for Accuracy, Explainability, and Courtroom Use — This post argues that lawyers should apply a five-step pre-purchase protocol testing AI jury selection tools on a mock panel, auditing source trails, and confirming trial-speed performance before trusting any recommendation in a real case — https://www.strikelistai.com/blog/ai-jury-selection-software-buyer-s-guide-a-trial-lawyer-test-for-accuracy-explainability-and-courtroom-use/
A 'Yes' Is Not Always a Cause Challenge: Turning Bias Answers into a Record — This post argues that a juror's admission of possible bias is only evidence supporting a cause challenge, not the challenge itself, and that attorneys must build a specific, preserved record distinguishing actual bias, implied bias, and statutory disqualification — https://www.strikelistai.com/blog/a-yes-is-not-always-a-cause-challenge-turning-bias-answers-into-a-record/
Jury Selection Software Pricing: Comparing Per-Trial, Subscription, and Consultant Costs — This post argues that lawyers should evaluate jury selection vendors by calculating total case cost across research, scoring, live support, and data retention rather than comparing sticker prices alone — https://www.strikelistai.com/blog/jury-selection-software-pricing-comparing-per-trial-subscription-and-consultant-costs/
David R. Drwencke is a trial attorney and the founder of ForVerdict, LLC. He is the creator and developer of StrikeList AI, ForVerdict's first publicly available product. To learn more about StrikeList AI go to: www.strikelistai.com
This podcast discusses jury selection and voir dire technique for a professional audience. It is not legal advice, and listening does not create an attorney-client relationship. Strategy, strike decisions, and the law applicable to any particular case remain the responsibility of the attorney or litigant handling that matter.