Latest posts
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Legal AI Workflows: A Governance Checklist for Legal Teams
Legal AI succeeds or fails at the workflow level. A model may perform impressively in a demonstration and still create unacceptable risk when it is connected to client files, institutional knowledge, contract data, legal research, or work product. The practical question is not simply whether an AI tool is accurate. It is whether the full…
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Institutional Knowledge Is the Real Legal AI Battleground
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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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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Governed Context Is the Real Legal AI 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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Anthropic Is Moving Closer to the Legal Workflow Layer for Lawyers
Anthropic’s latest legal package signals a shift from general-purpose AI help toward practice-specific legal workflows, integrations, and workflow-layer competition.