AI Practice Management Open-Source vs. Proprietary AI in Legal Practice: A Governance Framework for Law Firms and Courts ByJon Dykstra December 10, 2025December 10, 2025
AI Litigation | AI Regulation and Compliance Arbitration Institutions Deploy AI Guidelines Before Hard Law Steps In ByJon Dykstra December 10, 2025December 10, 2025
Legal Ethics | AI Litigation AI Drafting Tools Force Legal Profession to Redraw Unauthorized Practice Boundaries ByJon Dykstra December 3, 2025December 3, 2025
AI Practice Management When Ignoring AI Becomes Malpractice And Using It Becomes Negligence ByJon Dykstra November 27, 2025December 10, 2025
AI Practice Management Prosecutors Face Competence Crisis as AI Evidence Expands ByJon Dykstra November 20, 2025November 20, 2025
AI Litigation | Judicial AI Perspectives AI Generated Confessions Threaten Constitutional Protections ByJon Dykstra November 19, 2025December 15, 2025
AI Practice Management | State AI Law Arizona Becoming Hub for AI-Powered Law Firms Under New Ownership Rules ByJon Dykstra November 17, 2025December 18, 2025
AI Regulation and Compliance | AI Litigation How a New York City Ordinance Became the Blueprint for AI Regulation ByJon Dykstra November 10, 2025December 2, 2025
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, 2025December 2, 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
