Expert Analysis

• FTC Focus: Antitrust Spotlight On 'Acqui-Hires,' Noncompetes

  

  A recent Federal Trade Commission focus on labor issues, like 'acqui-hire' deals, in which only a company's workforce is acquired, and noncompetes, shows that the agency is scrutinizing these issues on a case-by-case basis, necessitating a meaningful look at these transactions, particularly in the technology and artificial intelligence industries, say attorneys at Proskauer.

• 5 Different AI Systems Raise Distinct Privilege Issues

  

  A New York federal court’s recent U.S. v. Heppner decision, holding that a defendant’s use of Claude was not privileged, only addressed one narrow artificial intelligence system, but lawyers must recognize that the spectrum of AI tools raises different confidentiality and privilege questions, says Heidi Nadel at HP.

• Making Effective Use Of DOD's 'Patent Holiday' Program

  

  The U.S. Department of Defense's new defense patent holiday program, designed to let companies experiment with otherwise latent technology without paying typical up-front fees, can help contractors enter new technical domains and markets, but requires careful attention to export controls and patent infringement risks, say attorneys at Sterne Kessler.

• Opinion

  AI-Assisted Arbitration Needs Safeguards To Ensure Fairness

  

  As tribunals and arbitral institutions increasingly use artificial intelligence tools in their decision-making processes, ​​​​​​​clear disclosure standards and procedural safeguards are necessary to ensure that efficiency gains do not erode the fairness principles on which arbitration depends, says Alexander Lima at Wesco International.

• Paramount-WBD Deal Would Widen Net For Antitrust Scrutiny

  

  The fresh likelihood of a merger between Paramount and Warner Bros. Discovery raises the prospect of added intervention from the U.S. Department of Justice due to the companies' overlaps in key markets, and may signal expanded DOJ scrutiny of potential anticompetitive effects on supply chains, says Shubha Ghosh at the Syracuse University College of Law.

• What Recent Dataset Suits Signal For AI Training Litigation

  

  Plaintiffs are moving away from abstract debates about artificial intelligence at large and toward dataset provenance, and three filings illustrate how provenance is pled using public dataset documentation, archives and discovery‑ready allegations about copying, retention and downstream handling, says Yulia Leshchenko at Name & Fame.

• Bid Protest Spotlight: Timeliness Is Of The Essence

  

  Three January decisions from the U.S. Government Accountability Office, illustrating that timeliness failures arise in different ways but always result in dismissal, show it is essential that contractors understand which events trigger the filing clock, calendar their deadlines immediately and file protests early, says Markus Speidel at MoFo.

• Series

  Playing Piano Makes Me A Better Lawyer

  

  Playing piano and practicing law share many parallels relating to managing complexity: Just as hearing an entire musical passage in my head allows me to reliably deliver the message, thinking about the audience's impression helps me create a legal narrative that keeps the reader engaged, says Michael Shepherd at Fish & Richardson.

• AI Trade Secret Conviction Highlights Espionage Risks

  

  A California federal court's conviction last month of an ex-Google engineer who stole artificial intelligence trade secrets for the benefit of China is the latest in a series of foreign economic espionage cases and illustrates the urgent need for U.S. companies to implement robust security measures, says attorney Peter Toren.

• NY RAISE Act Raises The Bar For Frontier AI Developers

  

  For organizations developing or substantially modifying highly capable artificial intelligence models, the New York Responsible AI Safety and Education Act represents a meaningful escalation beyond California's S.B. 53, even though it applies to a narrower group of developers, so companies should expect additional obligations, particularly around accelerated incident reporting, say attorneys at Kilpatrick.

• 3 Cases Highlight SEC Distinction Between Exec, Co. Liability

  

  Three recent enforcement actions against Spero Therapeutics, Lottery.com and Archer-Daniels-Midland demonstrate that while public companies are subject to liability for misrepresentations, the U.S. Securities and Exchange Commission is focused on individual liability when disclosure violations involve so-called half-truths, say attorneys at Cooley.

• AI-Generated Doc Ruling Guides Attys On Privilege Risks

  

  A New York federal court's ruling, in U.S. v. Heppner, that documents created by a defendant using an artificial intelligence tool were not privileged, can serve as a guide to attorneys for retaining attorney-client or work-product privilege over client documents created with AI, say attorneys at Sher Tremonte.

• How To Turn EU AI Act Disclosures Into Patent Assets

  

  As the Aug. 2 deadline approaches to comply with provisions of the EU Artificial Intelligence Act governing high-risk AI systems, intellectual property and AI leaders should consider steps to leverage documentation requirements to surface patentable subject matter, reinforce inventive-step narratives and align regulatory timelines with patent filing strategy, say Lestin Kenton, Roozbeh Gorgin and Ananth Josyula at Sterne Kessler.

• 6 Things Bankers Need To Know About AI-Powered M&A

  

  Artificial intelligence is now ingrained in banking mergers and acquisitions, and bankers should learn the key elements of the technology's competency and limits, such as that AI-enhanced reviews do not replace compliance, despite their speed and depth, say attorneys at Spencer Fane.

• The Law Firm Merger Diaries: Leadership Strategy After Day 1

  

  For law firm leaders, ensuring a newly combined law firm lives up to its promise, both in its first days of operation and well after, includes tough decisions, clear and specific communication, and cheerleading, says Peter Michaud at Ballard Spahr.