Latest posts
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California May Turn AI Guidance for Lawyers Into Formal Conduct Rules
California’s State Bar has not adopted binding AI ethics rules yet, but its proposal shows how lawyer-AI duties may move from guidance into enforceable rule text covering competence, confidentiality, candor, supervision, and source verification.
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Didn’t Want a Better AI Chatbot. Wanted a Working AI System.
A separate Mac Mini, a short-lived Ollama phase, ChatGPT Plus, and OpenClaw all grew out of one question: could an AI agent system do real legal and regulatory work instead of just chatting?
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Legal AI Workflows: A Governance Checklist for Legal Teams
A practical governance checklist for legal teams deploying AI workflows, covering ownership, data controls, vendor oversight, verification, and review.
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Institutional Knowledge May Be Legal AI’s Main Competitive Layer
Harvey’s partnership with DeepJudge pushes legal AI toward something more durable and more useful: outputs grounded in a firm or legal department’s own past work, permissions, and judgment.
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Governed Context May Be Legal AI’s Main Infrastructure Layer
iManage’s latest platform overhaul treats legal AI as a context, permissions, and governance problem, not just a model-selection problem. That is where many legal teams will actually win or fail with AI.
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OpenAI Is Moving Into Government Legal Workflows Through Eudia
OpenAI’s partnership with Eudia is not just another AI announcement. It is a sign that frontier models are moving into government legal and acquisition workflows through specialized operational layers built for regulated environments.
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Anthropic Pushes Further Into the Legal Workflow Layer
Anthropic’s latest legal package signals a shift from general-purpose AI help toward practice-specific legal workflows, integrations, and workflow-layer competition.