AI Litigation Berkeley Law Study Examines How AI Can Narrow the Justice Gap Thanks to Efficiency Gains ByJon Dykstra November 7, 2025November 7, 2025
AI Practice Management | State AI Law Failed Federal Moratorium Triggers State AI Regulation Revolution ByJon Dykstra November 5, 2025November 5, 2025
AI Litigation AI Evidence on Trial: When Algorithms Contradict Forensic Experts ByJon Dykstra November 3, 2025November 3, 2025
AI Litigation Predictive Analytics in Litigation: When Algorithms Calculate Your Odds of Winning ByJon Dykstra October 31, 2025October 31, 2025
Legal Ethics Feeding the Machine: Are Law Firms Using Client Data to Train AI Without Permission? ByJon Dykstra October 30, 2025October 30, 2025
Legal Ethics | Judicial AI Perspectives Delegating Justice: The Human Limits of Algorithmic Law ByJon Dykstra October 30, 2025October 30, 2025
AI Law News Research Suggests Legal AI’s Efficiency Gains Undermined by Verification Costs ByJon Dykstra October 28, 2025November 4, 2025
AI Practice Management When Rules Meet Reason: How Hybrid AI Could Save Legal Tech from Itself ByJon Dykstra October 27, 2025November 4, 2025
Judicial AI Perspectives | State AI Law Georgia’s AI Framework: A Three-Year Strategy to Transform the Courts ByJon Dykstra October 24, 2025October 30, 2025
Legal Ethics Data Provenance Emerges as Legal AI’s New Standard of Care ByJon Dykstra October 23, 2025October 28, 2025
AI Law News AI Legal Research Tools Outperform Attorneys in 200-Question Benchmark Study ByJon Dykstra October 23, 2025October 24, 2025
AI Practice Management License to Prompt: Should Passing the Bar Include Proving AI Literacy ByJon Dykstra October 22, 2025November 4, 2025
