Joined July 2014
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Why do workers have to wait for 2-4 weeks to be paid, in the same economy where online transactions go quickly and securely? A new draft π‘ƒπ‘Žπ‘¦π‘‘π‘Žπ‘¦-forthcoming @WashULaw-proposes that they shouldn't. Daily, or at least weekly, pay can be a reality. papers.ssrn.com/sol3/papers.…

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Endgame dynamics
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The a-corp becoming a reality is the largest event in corporate law of the last decades. I hope to see more corporate law folks and economists join the conversation. We have some things in the pipeline. Stay tuned!
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Yuval Noah Harrari takes issue with the a-corps. I hope to have a fuller response, but he had not considered many of the benefits, some of them will actually reduce the risk of the things he is worried about
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Amidst all the translation drama, I found this to be quite charming
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it's even funnier now that we have LLMs
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Milei is now pitching "a-corps"! A quick explainer: AI agents are quietly starting to run (in) the economy. And like your mom warned about kids running w/ scissors: it's all fun and games until someone runs a billion-dollar scam on the elderly.
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Can you sign a multimillion-dollar deal by telex? @HoffProf goes fossil-hunting on his Substack, exploring a puzzle in dealmaking. He's testing the Gulati/Scott/Choi theory that obsolete terms get fossilized in contracts. He brings really vivid evidence: M&A agreements in 2025 still list telex and telegram
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Contracts have a backward-compatibility problem, just like code, and there's a lot of legacy clauses still left in. And it's not like drafters don't care about what they write. They do adapt to email and even DocuSign. So there's a real puzzle here Read more:open.substack.com/pub/profho…

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My pre-registered prediction of this outcome was: 85%. AI is an amazing tool for pedagogy, and many educators not just "sleep on it" but actively resist it, Berkeley Law style
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Thanks @suno for bringing my daughter's poem to life. "Five more minutes / G. Arbel" (let me know if you want me to do the same for your child)
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Yonathan Arbel retweeted
This news from Kirkland along with the Harvey legal agent benchmark this week raises a big question: will the next major improvements in legally useful AI come from law-specific model building, or from improvements in general-purpose foundation models? 🧡
Kirkland & Ellis, the world's highest-grossing law firm, is setting aside $500M to build its own AI platform rather than rely on tools available to its rivals (Financial Times) (Visit Techmeme dot com for the link and full context!)
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FWIW, law firms are not start up hubs, much less AI labs, and -- for certain values of 'ai technology' -- this will end badly. There are ways to make these things work, but they all involve getting as far away from the foundational model layer as possible
Kirkland & Ellis to spend $500mn building its own AI technology ft.trib.al/O9ZtQPY
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