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The “TRAIN Act”: Forcing Transparency in AI Training Data
Jiaxin Chen, LL.M. Class of 2026 On January 22, 2026, U.S. Representatives Madeleine Dean and Nathaniel Moran introduced the Transparency and Responsibility for Artificial Intelligence Networks Act (“TRAIN Act”). The bill would grant copyright-holders unprecedented rights to access AI training data, allowing them to verify whether their works were used ... T
How Lexis+ and Westlaw Fuel ICE’s Deportation Machine
Kaarthika Thakker, J.D. Class of 2028 The Department of Homeland Security, which the U.S. Immigration and Customs Enforcement (ICE) falls under, currently has a contract valued at $22.1M this year with LexisNexis Risk Solutions Inc. and another contract of $22.8M with Thomson Reuters Special Services LLC. These companies fall under ... The post How Lexis+ an
Cell-Site Simulators Operate in a Legal Grey Area
Hyunsoo Kim, J.D. Class of 2028 Introduction Cell-site simulators, also known as International Mobile Subscriber Identity (IMSI) catchers, are surveillance devices used to intercept mobile signals, allowing users to capture cellular metadata. While a variety of companies manufacture cell-site simulators with varied capabilities and mechanisms, their fundamen
Volume 41, Issue 1
COMPLETE VOLUME 41, ISSUE 1 Complete Issue FRONT MATTER Front Matter ARTICLES Generative AI’s Two Information Goods by Oren Bracha How to Save the Internet by Tejas N. Narechania and Scott Shenker The Paradox of Intellectual Property at the U.S. Supreme Court by Tonja Jacobi and Matthew Sag Crypto Money ... The post Volume 41, Issue 1 appeared first on Berke
The Potential Apple-SpaceX DTC Partnership in iPhone 18 Pro
Andi Cao, J.D. Class of 2028 In January 2026, multiple reports noted that Apple was in discussions with SpaceX about potentially adding Starlink’s direct-to-cell (DTC) connectivity feature to the iPhone 18 Pro without requiring additional hardware. Direct-to-cell technology allows mobile phones to connect directly to satellites, potentially enabling communic
Multi-Agent AI is Outpacing the Liability Frameworks Built for Single-Agent Systems
Anita Srinivasan, LL.M. Class of 2026 AI systems are no longer working alone. Termed “multi-agent systems”, the emerging architecture for AI deployment uses a primary AI agent that receives a user’s request, breaks it into subtasks, and delegates those subtasks to specialized AI agents, often built by entirely different companies. ... The post Multi-Agent AI