Learning Machines
Lawyers are learning to work with artificial intelligence. Artificial intelligence is learning to work with law. This blog explores how — through pedagogy, practice, policy, and the ethical questions that connect them.
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The Duty to Inform: Client AI Use as a Known Hazard After Heppner
Heppner established that consumer AI conversations are not privileged. But the case also raises an uncomfortable question for practicing lawyers: if a known hazard to the privilege now exists, do you have a duty to warn your clients about it? The answer, under existing ethics rules, is almost certainly yes.
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API Access and the Limits of Data-Handling Compliance
Using an LLM through an API rather than a consumer chatbot improves your data-handling posture, sometimes dramatically. But an API alone does not satisfy FERPA, HIPAA, or any other regulatory framework, and treating it as though it does mistakes a technical control for a legal one.
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Privilege and the Consumer Chatbot: Data Handling Across Claude's Tiers After Heppner
A comparison of Anthropic’s data-handling policies across Claude’s consumer and commercial tiers, and why the distinction now carries legal consequences after the SDNY’s decision in United States v. Heppner.
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