We challenge the false confidence of generic jury data and show how venue-specific psychographics, behavioral science, and calibrated AI deliver sharper voir dire, stronger narratives, and better outcomes for plaintiffs. We also unpack confirmation bias, defensive attribution, and hindsight bias with practical ways to neutralize them. • the danger of national averages and convenience samples • how local culture and venue history shape damages attitudes • why demographics mislead and psychogr...
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We challenge the false confidence of generic jury data and show how venue-specific psychographics, behavioral science, and calibrated AI deliver sharper voir dire, stronger narratives, and better outcomes for plaintiffs. We also unpack confirmation bias, defensive attribution, and hindsight bias with practical ways to neutralize them. • the danger of national averages and convenience samples • how local culture and venue history shape damages attitudes • why demographics mislead and psychogr...
Generic AI tools present serious risks for attorneys including hallucinated legal facts, confidentiality breaches, and strategic failures that can lead to sanctions and case dismissals. • Large Language Models (LLMs) like ChatGPT create "hallucinations" - confidently stated but completely fabricated legal information including non-existent cases with fake names and citations • Courts have sanctioned attorneys who submitted AI-generated fake cases, as in Mata v. Avianca and cases involving Ja...
Science of Justice
We challenge the false confidence of generic jury data and show how venue-specific psychographics, behavioral science, and calibrated AI deliver sharper voir dire, stronger narratives, and better outcomes for plaintiffs. We also unpack confirmation bias, defensive attribution, and hindsight bias with practical ways to neutralize them. • the danger of national averages and convenience samples • how local culture and venue history shape damages attitudes • why demographics mislead and psychogr...
