September 29, 2025 - Code, Copyright, and the Client: Legal Tech's New Era

The legal world is undergoing a profound transformation as artificial intelligence (AI) rapidly reshapes practice and regulatory boundaries, demanding immediate adaptation from professionals. This shift introduces high-stakes challenges, particularly concerning ethical integration, the protection of sensitive client confidentiality, and the integrity of AI outputs, which occasionally fabricate case citations (or "hallucinate"). Lawyers must contend with protecting various forms of client data, including Protected Health Information (PHI) and location data collected by third parties, while establishing that AI systems provide defensible, transparent reasoning rather than functioning as a "black box". In response, governments globally are accelerating the creation of comprehensive frameworks, such as the planned UK AI bill, California's stringent ADMT regulations governing employment decisions, and new data privacy acts like MODPA, alongside state-level pilot programs testing alternative legal business models. This new landscape demands that law firms embrace responsible AI adoption, utilizing structured governance models—like the "pilot, govern, verify, scale" approach—to maintain professional duty and secure a competitive advantage. Far from displacing attorneys, AI integration is expanding the need for human experts in high-growth specialties such as AI & Technology Law, consequently focusing legal roles on critical judgment, strategic negotiation, and risk shifting where human oversight is indispensable. Today, we explore how legal professionals are managing these complex shifts by prioritizing transparency, compliance, and rigorous human oversight in an increasingly automated world.Holding back the AI waves2025-09-29 | Law Society GazetteUsing AI in marketing – how to lead with transparency2025-09-28 | Legal FuturesAI Chatbot Confidentiality: Legal Experts Debate Privileged Protections2025-09-28 | IndexBoxWhy Libraries Matter Now More than Ever to Democracy: Legal Issues Affecting the Future of Public Knowledge2025-09-28 | Seattle UniversityCould AI Adoption Create MORE Jobs for Lawyers? The Current Demand for Radiologists Says Maybe.2025-09-28 | Debevoise Data BlogClaude AI Powers Law Practice — Winning Court Cases AI Never Won Before2025-09-27 | MetapressLaw Firms Turn Skepticism into AI Champions: Pilot Govern Verify Scale2025-09-27 | Windows ForumSalomon v Salomon: When Property Law Meets Robotics: Lessons from Corporate Liability and the Ameca…2025-09-27 | Legaltech on MediumMinor Coordinates, Major Concerns: FTC Case Signals Collecting Location Data Isn’t Child’s Play2025-09-27 | Perkins CoieWhite House Pushes Back on Microchip Export Restrictions, and AI Leads White House R&D Budget Priorities — AI: The Washington Report2025-09-27 | Mintz LevinPrivacy Laws To Change For Some Americans On October 12025-09-26 | NewsweekTech Task Force Final Report Released2025-09-26 | Washington State Bar NewsWhy the success of the iManage platform is fueling AI Confidence™ in legal tech2025-09-26 | IManage.comEdelson Lechtzin LLP Investigates Data Breach Incident in Depth2025-09-26 | InvestorsHangout.comThe Lawhive Acquisition: The Shape Of Things To Come2025-09-26 | Above The LawThe Complicated Ethics (and Laws) of Smart Glasses2025-09-26 | LifehackerBirmingham Tech Week - AI, big tech & ethics2025-09-26 | Pinsent MasonsUnderstanding Australia’s Legal Backbone for Data Sovereignty2025-09-26 | Legal ReaderEthical AI in practice and what legal leaders need to know2025-09-26 | RaconteurRegister Now: AI Essentials: Custom GPTs Live Online Course2025-09-26 | AILAGenAI-drafted grievances are clogging up employment tribunals2025-09-26 | RaconteurNews Wrap: HSF Kramer, Gunderson, Everlaw, Law Punx +2025-09-26 | Artificial LawyerThe Reddit Debacle – A Response2025-09-26 | Artificial LawyerWhyBeyond Black Box AI: Why Explainability Is Non-Negotiable in Legal Tech2025-09-26 | Legaltech on Medium