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The same vertical-specialist logic applies in legal tech. Law firms are drowning in contract review — NDA, MSAs, leases — and generic AI gives them vague answers with no accountability. The teams winning there aren't building 'AI for lawyers', they're building AI that cites every answer to a specific clause and pins professional liability to the output. That's a very different product than a chatbot.
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What is needed there are custom harnesses that don’t let the LLM decide what to do when. Use their power of pattern matching on data, not on decision transcriptions.
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Does SonarCube use LLMs these days? It always seemed like a bloated, Goodhart's law inviting, waste of time, so hearing that doesn't surprise me at all.
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