BookVsBot

19 posts

BookVsBot

BookVsBot

@BookVsBots

Katılım Mart 2026
51 Takip Edilen1 Takipçiler
BookVsBot
BookVsBot@BookVsBots·
@OrinKerr I have seen examples of AI completely making up case law, which you obviously wouldn’t expect of a BigLaw associate as well as hypothecating what a section of, for example, the bankruptcy code says
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Orin Kerr
Orin Kerr@OrinKerr·
An attorney writes to me about the mostly AI-written law review article he had accepted this spring, now forthcoming in the flagship law review of a Top 50 law school. A draft of the article is now up on SSRN. According to the attorney: " Last month I used Claude to assist in drafting a new article . . . . I drafted this article in about 15 hours. In 2022 I published an article of similar length that took around 150 hours." The attorney adds: "I used Claude the way I’d use a junior associate—as a first drafter, sounding board, and research assistant. Most of the article, including the entirety of the title, abstract, and intro, is mine from the keyboard up. And anything Claude contributed that made it to the final version is there because I reviewed it, agreed with it, and chose to sign my name to it. This is no different than how I’d review an associate’s draft and then take responsibility for the finished product." The attorney adds: "That first draft was by no means file ready, but it was better than what I would’ve received from the vast majority of BigLaw associates. I was blown away, and have since started my own appellate and litigation practice in an effort to replicate these productivity gains for client work." Your thoughts? I know the attorney's name, and the journal, and I have checked out the article, but I figured that, at least for now, I would hold that back.
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BookVsBot
BookVsBot@BookVsBots·
The Aftermath 🛡️ The "wild west" of data scraping is over. Along with the $1.5B, Anthropic must destroy the pirated datasets. AI labs now face a future of strict data provenance. #AIResponsibility #TechNews
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BookVsBot
BookVsBot@BookVsBots·
Claim Deadline ⏳ Authors: Check the settlement list! The deadline to file your claim is March 30, 2026. Payouts are typically split 50/50 between authors and publishers. Don't wait. 📝 #WritingCommunity #BartzVsAnthropic
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BookVsBot
BookVsBot@BookVsBots·
The Legal Line ⚖️ The core ruling: Training on legal books is transformative, but training on pirated copies is copyright infringement. You can't skip the licensing "slog" anymore. #LawTech #BartzVAnthropic
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Director Michael Kratsios
Today, the @WhiteHouse released a commonsense National AI Policy Framework that ensures every American benefits from AI. As @POTUS has said — we need one federal AI policy, not a 50 state patchwork. This gets us there. Eager to work with Congress on this important legislation.
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BookVsBot
BookVsBot@BookVsBots·
The Payout 📚 The precedent is set: Qualifying authors can claim roughly $3,000 per work. A massive win for creators arguing that pirated datasets don't fall under "fair use." #AuthorsRights #GenerativeAI
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Luiza Jarovsky, PhD
Luiza Jarovsky, PhD@LuizaJarovsky·
Nobody wants to read AI-generated books.
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Zach Abramowitz
Zach Abramowitz@ZachAbramowitz·
People who think law firms will be eliminated by AI haven’t been on the practice floor of a law firm.
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Rob Freund
Rob Freund@RobertFreundLaw·
Message from the CA State Bar just now. “Attorneys must independently verify any AI-assisted work product before relying on it in any context.”
Rob Freund tweet mediaRob Freund tweet media
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BookVsBot
BookVsBot@BookVsBots·
Will be HUGE for authors if Courts are persuaded by the Copyright Office’s decision here!
Luiza Jarovsky, PhD@LuizaJarovsky

🚨 BREAKING: The U.S. Copyright Office SIDES WITH CONTENT CREATORS, concluding in its latest report that the fair use exception likely does not apply to commercial AI training. From the report's conclusion: "Various uses of copyrighted works in AI training are likely to be transformative. The extent to which they are fair, however, will depend on what works were used, from what source, for what purpose, and with what controls on the outputs—all of which can affect the market. When a model is deployed for purposes such as analysis or research—the types of uses that are critical to international competitiveness—the outputs are unlikely to substitute for expressive works used in training. But making commercial use of vast troves of copyrighted works to produce expressive content that competes with them in existing markets, especially where this is accomplished through illegal access, goes beyond established fair use boundaries. For those uses that may not qualify as fair, practical solutions are critical to support ongoing innovation. Licensing agreements for AI training, both individual and collective, are fast emerging in certain sectors, although their availability so far is inconsistent. Given the robust growth of voluntary licensing, as well as the lack of stakeholder support for any statutory change, the Office believes government intervention would be premature at this time. Rather, licensing markets should continue to develop, extending early successes into more contexts as soon as possible. In those areas where remaining gaps are unlikely to be filled, alternative approaches such as extended collective licensing should be considered to address any market failure. In our view, American leadership in the AI space would best be furthered by supporting both of these world-class industries that contribute so much to our economic and cultural advancement. Effective licensing options can ensure that innovation continues to advance without undermining intellectual property rights. These groundbreaking technologies should benefit both the innovators who design them and the creators whose content fuels them, as well as the general public." - My comments: Although this is a pre-publication version, the report states: "The Office is releasing this pre-publication version of Part 3 in response to congressional inquiries and expressions of interest from stakeholders. A final version will be published in the near future, without any substantive changes expected in the analysis or conclusions." It's GREAT NEWS for content creators/copyright holders, especially as the U.S. Copyright Office's opinion will likely influence present and future AI copyright lawsuits in the U.S. As I've written before, licensing deals seem to be the future of AI training. 👉 Read the full report in the link below. 👉 NEVER MISS my updates and analyses: join my newsletter's 61,000+ subscribers using the link below.

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More Perfect Union
More Perfect Union@MorePerfectUS·
AI-created art isn't eligible for copyright protection, after the Supreme Court chose not to review a lower court ruling. In 2022 the Copyright Office said images without “human authorship,” don't qualify for copyright protection — this was affirmed in 2023 by a district court.
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BookVsBot
BookVsBot@BookVsBots·
@RobertFreundLaw They attorneys argue their 20% is well below the precedent of 25% in the USDC for the Northern District of California
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Rob Freund
Rob Freund@RobertFreundLaw·
Some interesting numbers: the lawyers in the Bartz v. Anthropic case that led to an historic $1.5B settlement are seeking $300M in attorneys' fees and $19M in costs. Counsel says they spent 18,000 hours on the case so far, which works out to over $12M in fee value. Just administering the settlement will cost another $15M. The lawyers expect spending another 14,000+ hours on the matter "through final approval and beyond to ensure that Class Members are fully supported."
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BookVsBot
BookVsBot@BookVsBots·
Landmark Settlement 💰 Huge AI copyright news! Anthropic reached a $1.5B settlement in the Bartz v. Anthropic class action. It’s one of the largest copyright payouts in history, compensating authors for the use of their work. #AI #Copyright #Anthropic
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