AI Practice Management Building AI Governance from the Ground Up in Small Law Firms ByJon Dykstra November 7, 2025November 7, 2025
AI Practice Management Recalibrating Competence: Updating Model Rule 1.1 for the Machine Era ByJon Dykstra November 4, 2025November 4, 2025
AI Law News CBA’s AI Ethics Toolkit Recasts Professional Duties for the Algorithmic Era ByJon Dykstra October 28, 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
Legal Ethics | State AI Law Oregon Becomes Testing Ground for AI Ethics Rules as Fabricated Case Law Spreads ByJon Dykstra October 23, 2025October 30, 2025
AI Practice Management | Legal Ethics Can Machines Be Taught to Obey Laws They Can’t Understand? ByJon Dykstra October 22, 2025November 7, 2025
AI Litigation Self-Representation Meets AI: Promise, Peril, and Professional Oversight ByJon Dykstra October 21, 2025November 7, 2025
Legal Ethics When Machines Decide, What Are the Limits of Algorithmic Justice? ByJon Dykstra October 20, 2025October 27, 2025
AI Practice Management AI and Client Expectations: The New Legal Contract ByJon Dykstra October 20, 2025October 30, 2025
AI Practice Management Boutique vs. BigLaw: The AI Arms Race Reshaping Legal Practice ByJon Dykstra October 20, 2025October 24, 2025
AI Litigation The Two-Tier AI Justice System: Premium Tools for Lawyers, Free Chatbots for Everyone Else ByJon Dykstra October 17, 2025October 24, 2025
