In Case You Missed It (Law)
Digest for Tuesday April 28, 2026

Greetings, my name is David Colarusso. I'm the co-director of Suffolk University Law School's Legal Innovation & Technology (LIT) Lab. With one foot in law and the other in tech, I really want the open web to thrive. So I created a bot (@icymilaw.org) and this site to help folks discover great law-themed content while showing off what one can do with sufficiently open protocols.

If you like these, you'll ❤️ The Finite Scroll, an open-source client-side algorithmically-driven RSS reader. You might also enjoy this post: How and why I (still) use social media. It includes tips on how to make your own custom social media algo(s).

Note, the number of fire emoji represent how many standard deviations more popular a link is than the average link observed in its category.

News-like Links

A collection of links shared recently¹ by legal-type folks² with URLs that look like they point to news articles,³ sorted by popularity.

  1. Russian superyacht crosses blockaded Strait of Hormuz  🔥🔥🔥🔥🔥
    A superyacht linked to sanctioned Russian billionaire Alexey Mordashov sailed through the Strait of Hormuz on Saturday, shipping data showed, one of very few vessels to ​transit the blockaded shipping...
  2. Trump cancels his envoys’ Pakistan trip for Iran ceasefire negotiations  🔥🔥🔥
    Steve Witkoff and Jared Kushner were to travel to Islamabad to attempt to revive ceasefire negotiations ...
  3. How the Trump Administration Ended Independent Science at the E.P.A.  🔥🔥
  4. Sergey Brin Moves to the Right, With a ‘MAGA Girlfriend’ by His Side  🔥🔥
  5. Pete Hegseth’s Iran war messaging echoes sermons from his extremist church  🔥🔥
    US defense secretary’s openly Christian nationalist church continues to have growing influence in the White House ...
  6. Palantir and the NHS – 10 things you need to know  🔥
    What Palantir’s £330 million NHS data contract means for patients, privacy and the future of healthcare data in the UK.

Blog-like Links

A collection of links shared recently⁴ by legal-type folks⁵ with URLs that look like they point to blogs/newsletters,⁶ sorted by popularity.

  1. Important: White House Blame Game Escalates With Top Officials at Risk, Epstein Survivors Call Trump's Bluff, and I Need Your Help  🔥🔥🔥
    Good morning everyone.
  2. DOJ's leaders just filed what amounts to a Truth social post as a legal filing in the ballroom case  🔥
    Acting A.G. Todd Blanche, Associate A.G. Stanley Woodward, and Trent McCotter beclowned themselves in yet another dark, embarrassing moment for DOJ.
  3. NEWS: White House Labels Shooting "National Emergency," Leavitt Blames Those Calling Trump a Fascist, DOJ Blames the Media, Major Epstein Lawsuit  🔥
    Good afternoon, everyone.
  4. What You Need To Know About the Charges Against the Correspondents' Dinner Attacker  🔥
    Today, the government charged Cole Tomas Allen with attempt to assassinate the president, interstate transportation of a firearm, and discharging a firearm during a crime of violence.
  5. April 27, 2026  🔥
    There is a story behind this picture from Virginia's Skyline Drive that I will write as soon as there’s a little breathing room in the news.
  6. Today in Politics, Bulletin 358. 4/27/26  🔥
    … Nobody in the history of American politics has weaponized incidents of violent crime to turn them into political capital like Donald Trump. His campaign’s use of the incident in Butler, PA as well a...

AI & The Law Links

A collection of links shared recently⁷ on Bluesky that look like they talk about AI & the law,⁸ sorted by popularity.

  1. Taylor Swift Files Trademarks For Voice, Likeness Amid AI Misuse Concerns  🔥🔥🔥🔥
    Taylor Swift Files Trademarks For Voice And Likeness After AI Misuse Claims ...
  2. Elon Musk and Sam Altman’s court battle over the future of OpenAI  🔥🔥
    The billionaire battle goes to court.
  3. Microsoft and OpenAI’s famed AGI agreement is dead  🔥🔥
    The long-famed AGI clause, which has for years dictated the future of the Microsoft-OpenAI deal, is officially dead.
  4. Some Musk v. Altman Jurors Don't Like Elon Musk  🔥🔥
    Musk’s lawsuit challenges OpenAI’s evolution under Sam Altman. But during jury selection, several potential jurors voiced negative views of Musk himself.
  5. Taylor Swift files to trademark her voice, likeness to ward off AI deepfakes  🔥
    Pop superstar Taylor Swift filed trademark applications for two audio clips and one image of ‌herself in what a trademark attorney said is an attempt to protect her voice and likeness from deepfake videos and audio created by artificial intelligence.
  6. This AI Tool Rips Off Open Source Software Without Violating Copyright  🔥
    Malus, which is a piece of satire but also fully functional, performs a "clean room" clone of open source software, meaning users could then sell software without crediting the original developers.
  7. Congress Has One Chance to Require a Warrant. It's About to Miss It.  🔥
    Claudia Ruiz examines data broker loopholes, FISA 702, and AI surveillance, highlighting threats to privacy, civil liberties, and Fourth Amendment protections.

Law Review-like Links

A collection of links shared recently⁹ on Bluesky that look like they point to papers in law journals or the like,¹⁰ sorted by popularity.

  1. Dismantling Equality Rights Through "Biological-Sex" Talk  🔥🔥
    In rejecting the sex-discrimination claims of transgender claimants in United States v. Skrmetti (2025), the Supreme Court introduced a new ter ...
  2. The Apathy Economy: Patents, Advertising, and Consumer Indifference  🔥
    Patents function as signals as well as rights to exclude. They inform competitors, investors, employees, and consumers about the invention and its owner. How th ...
  3. Building Local Power: Movement Law and State Voting Rights Acts  🔥
    State voting rights acts have emerged as a novel way to fight back against federal courts' backsliding on voting rights protections, congressional gridlock on v ...
  4. Brief of Amicus Curiae American Civil Liberties Union Foundation of Florida, Inc., in Support of Respondent Brooke Lynette Girley 
    In 2021, Florida civil rights lawyer Jerry Girley represented a Florida doctor in a racial discrimination lawsuit against AdventHealth of Orlando in a jury tria ...
  5. Video Analytics and Fourth Amendment Vision 
    What does the Fourth Amendment have to say about video analytics running on citywide camera systems? Video analytics (also known as computer vision) involves ha ...

AI Paper-like Links

A collection of links shared recently¹¹ on Bluesky that look like they point to papers on AI,¹² sorted by popularity. Wondering why this section is on a site about the law? Well, I teach a course on AI & the Law, and it turns out that understanding this stuff is super important to figuring out what the law might have to say. So, I figured since I was sharing lists, I might as well share this one too.

  1. LLMs Corrupt Your Documents When You Delegate  🔥🔥🔥🔥
    Large Language Models (LLMs) are poised to disrupt knowledge work, with the emergence of delegated work as a new interaction paradigm (e.g., vibe coding). Delegation requires trust - the expectation that the LLM will faithfully execute the task without introducing errors into documents. We introduce DELEGATE-52 to study the readiness of AI systems in delegated workflows. DELEGATE-52 simulates long delegated workflows that require in-depth document editing across 52 professional domains, such as coding, crystallography, and music notation. Our large-scale experiment with 19 LLMs reveals that current models degrade documents during delegation: even frontier models (Gemini 3.1 Pro, Claude 4.6 Opus, GPT 5.4) corrupt an average of 25% of document content by the end of long workflows, with other models failing more severely. Additional experiments reveal that agentic tool use does not improve performance on DELEGATE-52, and that degradation severity is exacerbated by document size, length of interaction, or presence of distractor files. Our analysis shows that current LLMs are unreliable delegates: they introduce sparse but severe errors that silently corrupt documents, compounding over long interaction.
  2. Slopaganda: The interaction between propaganda and generative AI 
    At least since Francis Bacon, the slogan 'knowledge is power' has been used to capture the relationship between decision-making at a group level and information. We know that being able to shape the i...
  3. AI Assistance Reduces Persistence and Hurts Independent Performance 
  4. AI Self-preferencing in Algorithmic Hiring: Empirical Evidence and Insights 
    As artificial intelligence (AI) tools become widely adopted, large language models (LLMs) are increasingly involved on both sides of decision-making processes, ranging from hiring to content moderatio...
  5. How Do AI Agents Spend Your Money? Analyzing and Predicting Token Consumption in Agentic Coding Tasks 
    The wide adoption of AI agents in complex human workflows is driving rapid growth in LLM token consumption. When agents are deployed on tasks that require a significant amount of tokens, three questions naturally arise: (1) Where do AI agents spend the tokens? (2) Which models are more token-efficient? and (3) Can agents predict their token usage before task execution? In this paper, we present the first systematic study of token consumption patterns in agentic coding tasks. We analyze trajectories from eight frontier LLMs on SWE-bench Verified and evaluate models' ability to predict their own token costs before task execution. We find that: (1) agentic tasks are uniquely expensive, consuming 1000x more tokens than code reasoning and code chat, with input tokens rather than output tokens driving the overall cost; (2) token usage is highly variable and inherently stochastic: runs on the same task can differ by up to 30x in total tokens, and higher token usage does not translate into higher accuracy; instead, accuracy often peaks at intermediate cost and saturates at higher costs; (3) models vary substantially in token efficiency: on the same tasks, Kimi-K2 and Claude-Sonnet-4.5, on average, consume over 1.5 million more tokens than GPT-5; (4) task difficulty rated by human experts only weakly aligns with actual token costs, revealing a fundamental gap between human-perceived complexity and the computational effort agents actually expend; and (5) frontier models fail to accurately predict their own token usage (with weak-to-moderate correlations, up to 0.39) and systematically underestimate real token costs. Our study offers new insights into the economics of AI agents and can inspire future research in this direction.

The High Score

The 20 accounts most reposted by @icymilaw.org over the past week¹³ (the list below is updated every Sunday). High Score, get it? One Score = 20, as in, "four score and seven years ago." ;)

  1. ICYMI (Law) (@icymilaw.org)
  2. Law + Tech News Bot (@news.bot.suffolklitlab.org)
  3. Adam Cohen (My Personal Views Only) (@axidentaliberal.bsky.social(promoted)
  4. Anthony Michael Kreis (@anthonymkreis.bsky.social(promoted)
  5. CREW (@citizensforethics.org(promoted)
  6. Chris Geidner (@chrisgeidner.bsky.social(promoted)
  7. Andy Craig (@andycraig.bsky.social(promoted)
  8. Joyce White Vance (@joycewhitevance.bsky.social)
  9. Justin Hendrix (@justinhendrix.bsky.social(promoted)
  10. Mark Joseph Stern (@mjsdc.bsky.social(promoted)
  11. Critical For Our National Popehat (@kenwhite.bsky.social(promoted)
  12. Alejandra Caraballo (@esqueer.net)
  13. Amee Vanderpool (@girlsreallyrule.bsky.social(promoted)
  14. Prem Sikka (@premnsikka.bsky.social(promoted)
  15. Patrick Chovanec (@prchovanec.bsky.social(promoted)
  16. T. Greg Doucette (@gregdoucette.bsky.social(promoted)
  17. Gabriel Malor (@gabrielmalor.bsky.social(promoted)
  18. Orin Kerr (@orinkerr.bsky.social(promoted)
  19. Peter Stefanovic (@peterstefanovic.bsky.social(promoted)
  20. Fionna O’Leary (@fascinatorfun.bsky.social(promoted)
  21. Daniel Suitor (@danielsuitor.com(relegated)
  22. Daniel Gilmore (@gilmored85.bsky.social(relegated)
  23. Joe Patrice (@joepatrice.bsky.social(relegated)
  24. dag (@davidallengreen.bsky.social(relegated)
  25. Professa Murray (@kalimurray.bsky.social(relegated)
  26. Just Security (@justsecurity.org(relegated)
  27. Matt Ford (@mford.bsky.social(relegated)
  28. Aaron Reichlin-Melnick (@reichlinmelnick.bsky.social(relegated)
  29. John Pfaff (@johnpfaff.bsky.social(relegated)
  30. ElieNYC (@elienyc.bsky.social(relegated)
  31. Quinta Jurecic (@qjurecic.bsky.social(relegated)
  32. Evan Bernick, a finite mode with a smol hooman and a lorg floof (@evanbernick.bsky.social(relegated)
  33. Raffi Melkonian (@rmfifthcircuit.bsky.social(relegated)
  34. National Security Counselors 🕵 (@nationalsecuritylaw.org(relegated)
  35. New York Attorney General Letitia James (@newyorkstateag.bsky.social(relegated)
  36. Melissa Gira Grant (@melissagiragrant.com(relegated)

This link was also in yesterday's digest.
¹ Approx. 1 day lookback.
² Attorneys, law profs, et al.
³ News-like links (law)
Supra note 1.
Supra note 2.
Blog-like links (law)
⁷ Approx. 3.5 days lookback.
AI & the Law
⁹ Approx. 1 week lookback.
¹⁰ Law Review-like
¹¹ Supra note 9.
¹² AI Papers et al.
¹³ High Score

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