Season 1 Episode 19
Predictive artificial intelligence is revolutionizing civil litigation from reactive document collection to strategic forecasting, helping plaintiff lawyers identify potential case pitfalls and turn them into advantages before depositions begin.
• Moving beyond intuition-based decisions to evidence-based processes using sophisticated statistical methodologies
• Using behavioral economics to understand how jurors actually make decisions, accounting for cognitive shortcuts and emotional drivers
• Creating detailed juror personas using venue-specific demographic and psychographic data
• Running simulation-based jury research to test different case narratives and evidence presentations
• Enhancing witness preparation with AI-powered behavioral analysis that identifies credibility issues
• Analyzing diverse data types including emails, audio, video and medical records to find hidden evidence
• Detecting metadata anomalies that may reveal document alterations or tampering
• Implementing robust data governance to ensure reliability of AI insights
Three key takeaways: leverage AI-powered community insights to build tailored case theories early, employ AI for comprehensive deposition preparation and witness evaluation, and utilize AI-supported evidence simulation to uncover unexpected trial risks.
https://scienceofjustice.com/
Published on 1 month, 1 week ago
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