AI Practice Management Design an AI Use Policy That Governs Real Law Firm Workflows ByJon Dykstra January 8, 2026January 8, 2026
AI Practice Management | AI Marketing AI-Washing in Law Firm Marketing Draws Regulatory Fire ByJon Dykstra January 7, 2026January 7, 2026
AI Practice Management Tool Controls and Workflow Guardrails: Building a Law Firm AI Playbook That Holds Up Under Scrutiny ByJon Dykstra January 6, 2026January 6, 2026
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 Keep the Data, Share the Knowledge: The Promise and Peril of Federated Learning ByJon Dykstra November 17, 2025November 27, 2025
AI Practice Management Generative AI Forcing Legal Profession to Rethink the Billable Hour ByJon Dykstra November 14, 2025November 14, 2025
Legal Ethics Bar Regulators Deploy AI to Police Attorney Misconduct ByJon Dykstra November 12, 2025November 12, 2025
AI Litigation | AI Practice Management Courts Tighten Standards as AI Errors Threaten Judicial Integrity ByJon Dykstra November 11, 2025November 19, 2025
AI Practice Management Recalibrating Competence: Updating Model Rule 1.1 for the Machine Era ByJon Dykstra November 4, 2025December 2, 2025
Legal Ethics | State AI Law New Jersey Building the Playbook for AI-Written Briefs Through a Layered Approach ByJon Dykstra October 29, 2025November 12, 2025
Legal Ethics Data Provenance Emerges as Legal AI’s New Standard of Care ByJon Dykstra October 23, 2025December 12, 2025
