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).
In addition to the RSS feeds below, here's the legal tech feed 
powering @news.bot.suffolklitlab.org (another bot of mine).
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.
- Times Journalists Subpoenaed as Trump Escalates Pressure on Media 🔥🔥🔥🔥🔥🔥The Justice Department is seeking to compel testimony from reporters who wrote about the new Air Force One. The Times called the move a “brazen act.”
- Lindsey Graham, longtime South Carolina senator, dies at 71, his office says 🔥🔥🔥🔥Graham, who was first elected to the House in 1994 and the Senate in 2002, had been running for reelection this year.
- New Mexico says US Justice Dept hindering probe of former Epstein ranch 🔥New Mexico's top law enforcement official on Thursday accused the U.S. Department of Justice of hindering the state's investigation into Jeffrey Epstein by withholding unredacted files on the late se...
- Times Journalists Subpoenaed as Trump Escalates Pressure on Media (Gift Article) 🔥The Justice Department is seeking to compel testimony from reporters who wrote about the new Air Force One. The Times called the move a “brazen act.”
- Largest housing affordability bill in decades becomes law without Trump's signature President Trump refused to sign the bill without Congress first passing his sweeping voter ID bill.
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.
- Saturday Night Update—I am Fighting With the Justice Department Over the Epstein Files 🔥🔥Good evening, everyone.
- NEWS: Important Epstein Update, Trump Targets Journalists, Iran Vows to Avenge Leader's Death as Trump Fears Possible Assassination 🔥Good morning, everyone.
- July 11, 2026 🔥Last night the Department of Justice subpoenaed reporters from the New York Times over a story the newspaper published on Wednesday.
- Freedom Academy Book Club: The Voter File (by David Pepper), with Marc Elias 🔥The election interference strategy that the Trump administration is hoping won't be on your radar.
- Debunked! 9 False Claims Made by Rupert Lowe to Joe Rogan About Muslims, Migrants and More 🔥The Restore Britain MP's description of the Dunblane massacre as 'one murder' has been widely and rightly condemned. But at Zeteo UK, we call out his many other offensive and ridiculous claims.
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.
- Class action suit against AI makers over deepfake child sexual abuse material expands† 🔥🔥🔥New plaintiffs in a lawsuit against Elon Musk's SpaceXAI and Stability AI say the companies' AI tools were used to make sexually explicit images of them as children.
- University of Chicago Law to ban phones, laptops in classroom for first-year students in new AI plan† 🔥🔥🔥University of Chicago Law School announced it will ban phones and laptops in the classroom for first-year students in its new AI strategy.
- Apple Claims OpenAI Stole Trade Secrets In New Lawsuit 🔥🔥Apple alleges OpenAI improperly obtained trade secrets tied to the iPhone maker’s hardware development through former Apple employees as the AI company expands into consumer devices.
- Apple Sues OpenAI, Accusing It of Stealing Company Secrets (Gift Article)† 🔥The two companies struck a deal in 2024 to offer A.I. services on Apple devices, but their partnership has soured.
- Lawsuit: Man used Grok to make 7K sex images of stepdaughter, then shot himself 🔥More young girls sue X over Grok CSAM; X accused of shielding child predators.
- News outlets urge a judge to sanction OpenAI in a high-stakes AI copyright fight 🔥The New York Times, the Daily News and other media outlets are asking a federal judge to impose sanctions on OpenAI, escalating a legal fight over artificial intelligence and copyright that could shape the future of a struggling news industry.
- Apple Is Suing OpenAI for Allegedly Stealing Hardware Secrets 🔥The iPhone-maker claims OpenAI encouraged poached employees to bring over confidential presentations, secret prototypes, and key supplier details.
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.
- The Timing of Federal Civil Appeals: The Basic Rules and How I Teach Them to Law Students 🔥This article examines the law governing timing of federal civil appeals and explains how the relevant rules and case law can be taught to law students. Drawing ...
- Applying a Cost-benefit Analysis to Geofence Searches The pervasive quality of digital information poses challenges to traditional Fourth Amendment doctrine regulating law enforcement searches. Modern doctrin ...
- "Abuse of Speechifying": Crafting the Politics/Law Divide in the Supreme Court's First Decade† What actions are too "political" for a Supreme Court justice? This question has been the subject of intense debate since the beginning of the republic ...
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.
- Algorithmic Collusion by Large Language Models 🔥🔥🔥We conduct experiments with algorithmic pricing agents based on Large Language Models (LLMs). In oligopoly settings, LLM-based pricing agents quickly and autonomously reach supracompetitive prices and...
- Oyster-II: Reinforcement Learning for Constructive Safety Alignment in Large Language Models† 🔥🔥Large language models (LLMs) have demonstrated remarkable capabilities across diverse applications, yet ensuring their simultaneous safety, helpfulness, and trustworthiness remains a persistent challenge. Conventional refusal-oriented alignment strategies mitigate harmful content generation but systematically fail to serve legitimate user needs, often withholding information that could safely and constructively address the underlying intent of sensitive queries. Building upon the constructive safety paradigm pioneered by Oyster-I, which moves beyond blanket refusal toward thoughtful, response-oriented safety alignment, we identify two critical limitations of its Supervised Fine-Tuning (SFT)-based scheme: insufficient safety generalization to out-of-distribution scenarios and a phenomenon we term safety chain-of-thought (CoT) over-generalization, wherein safety-oriented reasoning patterns are excessively applied to benign queries, degrading helpfulness and user experience. To address these limitations, we propose Oyster-II, a reinforcement learning (RL)-based constructive safety alignment framework that adopts a Zero-RL paradigm combined with a multi-stage reinforcement learning strategy.Evaluated across extensive benchmarks, Oyster-II comprehensively surpasses both Qwen3-14B and its predecessor Oyster-I on safety dimensions, achieving cross-scale performance comparable to Qwen3-Max and Qwen3.5-397B.
- ConRad: Efficient Conformal Prediction for Radiomics 🔥🔥Radiomic features derived from medical images and segmentation masks are used to support decision making in clinical imaging pipelines. In practice, these features are often computed from predicted masks, but segmentation models can be overconfident or poorly calibrated, making derived measurements appear more reliable than they are. Conformal prediction (CP) provides distribution-free prediction intervals with finite-sample marginal coverage guarantees, but black-box intervals for segmentation-derived radiomics can be inefficient because they ignore test-time information about image appearance, mask geometry, and segmentation uncertainty. We propose ConRad, a conformal framework for scalar radiomic targets that uses covariates derived from the predicted mask, input image, predicted radiomics, and boundary uncertainty to construct adaptive intervals while maintaining coverage. Across five 2D medical imaging datasets and 171 retained radiomic targets, we show that ConRad improves featur ...
- Non-contact, Real-time, Heart-rate Measurement using Image Processing with Commodity Cameras and AI Agents† 🔥ArXiv link for Non-contact, Real-time, Heart-rate Measurement using Image Processing with Commodity Cameras and AI Agents ...
- Operationalizing Individual Fairness via Gradient Descent and Bradley-Terry Models† 🔥ArXiv link for Operationalizing Individual Fairness via Gradient Descent and Bradley-Terry Models ...
- LLM-powered reasoning in agent-based modeling† 🔥Agent-based modeling (ABM) has the capability to model millions of individuals and their interactions, which is useful for policy making. However, ABMs have traditionally relied on static prior, which prevents the models from adapting to real-time changes. Our research provides a novel approach to …
- The Harness Effect: How Orchestration Design Sets the Token Economics of Enterprise Agentic AI† 🔥Agentic AI development today runs on token maxing: buying capability with tokens -- longer reasoning traces, more turns, wider tool payloads, bigger replayed contexts -- so tokens per task grow faster than task value. Falling per-token prices mask the pattern; total spend rises anyway. We argue the decisive lever against token maxing is the harness: the orchestration layer that assembles context, exposes tools, sequences turns, delegates work, and carries enterprise observability and governance. We isolate it with a controlled swap: 22 locked evaluation tasks, six foundation models (Claude Sonnet 4.6, Gemini 3.1, Gemini Flash 3.5, Qwen 3.6, GLM 5.1, Palmyra X6), changing only the orchestration layer -- a frozen conventional production loop versus the Writer Agent Harness. Holding models constant, the harness cuts blended cost per task 41% ($0.21->$0.12), median wall-clock 44% (48s->27s), and tokens per task 38% (14.2k->8.8k), with task-completion quality at parity (0.78->0.81, directional at this sample size). Efficiency is model-invariant -- every model gets cheaper (33-61%) -- while quality gains are capability-dependent: a model's gain correlates almost perfectly with its baseline strength (r=0.99, n=6), a phenomenon we term harness leverage. Quality per dollar rises 82%; task-completions per million tokens rise from 54.9 to 92.0. On this workload the orchestration layer moved cost per task more than the full spread of the model menu did. We formalize token economics at the orchestration layer (including effective input price under prompt caching), detail the six mechanism families behind the effect -- cache-shape discipline to failure-spend governance -- compare six widely used agent systems on the same axes, and argue the harness is the one component whose efficiency multiplies across every model an organization runs -- present and future.
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." ;)
- ICYMI (Law) (@icymilaw.org)
- Law + Tech News Bot (@news.bot.suffolklitlab.org)
- Joyce White Vance (@joycewhitevance.bsky.social) (promoted)
- Leon English (@leonenglish.bsky.social) (promoted)
- Don Moynihan (@donmoyn.bsky.social)
- Aaron Reichlin-Melnick (@reichlinmelnick.bsky.social) (promoted)
- Legal Carnet (@legalclaret.bsky.social) (promoted)
- Adam Cohen (My Personal Views Only) (@axidentaliberal.bsky.social)
- Fionna O’Leary (@fascinatorfun.bsky.social) (promoted)
- Michael J. Stern (@michaeljstern.bsky.social) (promoted)
- Anthony Michael Kreis (@anthonymkreis.bsky.social)
- David Noll (@david.noll.org) (promoted)
- Nicholas Grossman (@nicholasgrossman.bsky.social)
- Harry Litman (@harrylitman.bsky.social)
- Omri Marian (@omrimarian.bsky.social) (promoted)
- Sam Bagenstos (@sbagen.bsky.social) (promoted)
- Dan Kaszeta FRHistS (@dankaszeta.bsky.social)
- Corey Rayburn Yung (@coreyryung.bsky.social) (promoted)
- Prem Sikka (@premnsikka.bsky.social) (promoted)
- Max Kennerly (@maxkennerly.bsky.social)
- Katie Phang (@katiephang.bsky.social) (relegated)
- Andy Craig (@andycraig.bsky.social) (relegated)
- Roger Parloff (@rparloff.bsky.social) (relegated)
- Asha Rangappa (@asharangappa.bsky.social) (relegated)
- Patrick Chovanec (@prchovanec.bsky.social) (relegated)
- Barred and Boujee aka Madiba Dennie (@audrelawdamercy.blacksky.app) (relegated)
- Jonathan Ladd (@jonathanmladd.com) (relegated)
- Anna O. Law (@unlawfulentries.bsky.social) (relegated)
- Dan Sohege (@danielsohege.bsky.social) (relegated)
- Heba Gowayed هبة جويد (@hebagowayed.bsky.social) (relegated)
- Jenny Cohn (@jennycohn.bsky.social) (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) ⁴ Supra note 1. ⁵ Supra note 2. ⁶ Blog-like links (law) ⁷ Approx. 3.5 days lookback. ⁸ 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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