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AI adoption for companies with sensitive data. In stages, safely, from benign data to crown jewels. Boston.

Boston, MA
Joined December 2024
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An AI answer with no source behind it is a guess. Grounding fixes that: the model reads your documents before it answers. Which raises the question most teams skip: which documents may it read, and where do they go? Good plain-English guide in the reply.
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Your AI just gave you 12 cases for your brief. Names, holdings, links. It looks like research. One question that's easy to skip: did it open them? 🧵
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4/ Questions worth asking before relying on the list: which cases did it open in full? Which came from a summary? Can it show the passage and page? If you represent yourself, the filing is yours. If you represent clients, you answer to them.
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In Nature: AutoDNA, a lab where AI agents run DNA experiments on over 20 types of instruments. People restock supplies and service hardware. In one test it matched expert-optimized enzymatic DNA synthesis yields. For R&D teams, the question is what those agents may read.
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A real case can still be the wrong answer. One public tracker lists 2,266 court decisions where courts found or implied reliance on AI-generated material. 960 are tagged for real authority misrepresented, an error that can pass any "does this case exist?" check. A thread 🧵
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8/ Skipping the check costs. Flycatcher v. Affable Ave. (S.D.N.Y.): default judgment against the lawyer's own client, then $38,877.59 in fees and costs. Kleyman v. Kaloidis (N.Y. Sup. Ct.): a $10,000 sanction plus $36,511.35 in fees. Experts too, as @nikiblack wrote.
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9/ What grounding means in law: 1. Answer from the record, not memory 2. Run all three checks 3. Record who checked what, and when 4. Fail closed (Sachar's term): a failed check holds the document until someone resolves it Full article, every source: linkedin.com/pulse/real-case…
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Botformed retweeted
AI agents enter the wet lab. In new @Nature N&V article, I discuss recent advances in agents running automated labs and ideas on how to make these systems more reliable. nature.com/articles/d41586-0…
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