Expert Analysis

• 3 AI Adoption Mistakes GCs Should Avoid

  

  The pressure in-house legal teams face to quickly adopt artificial intelligence tools, combined with budget constraints and the need to evaluate a crowded market of options, sets the stage for general counsel to make several implementation mistakes that are often difficult to undo, says former 23andMe general counsel Guy Chayoun.

• Sentencing Tips For Defending Crypto Conspiracy Cases

  

  The sentencing of Evan Tangeman to 70 months in federal prison for laundering money in a cryptocurrency conspiracy illustrates that defense attorneys representing clients in multidefendant crypto cases need to understand the mechanics of conspiracy liability, loss attribution and restitution exposure before they reach the sentencing table, says Joseph De Gregorio at Sentencing Advocacy.

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  Playing Basketball Makes Me A Better Lawyer

  

  My grandfather used to say "I wear your jersey" as shorthand for wholly committing to support someone with loyalty and integrity — ideals that have shaped my life on the basketball court and in legal practice, says Tracy Schimelfenig at Schimelfenig Legal.

• Nexstar Offers A Cautionary Tale On State-Level Deal Scrutiny

  

  State-enforcement challenges to the $6.2 billion Nexstar-Tegna merger remind legal practitioners that federal approval isn't always sufficient to deliver certainty on closing, integration and timetable assumptions, says Brett Story at Britehorn Securities.

• How 'Bundling' Enforcement Is Parsing Efficiency, Access

  

  Recent antitrust enforcement actions have taken a selective view of companies' bundling of products or services — challenging it when it shuts out rivals, but tolerating it when it creates efficient scale — making the real test now less about lower prices than about whether competition is being blocked, says attorney Alan Kusinitz.

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  The Biz Court Digest: Georgia Court Has Business On Its Mind

  

  Thanks to recent legislation, the Georgia State-wide Business Court will soon offer business litigants greater access to the court than ever before, further enhancing the court's emphasis on efficiency, predictability and accessibility for sophisticated commercial disputes, says former GSBC judge Walt Davis at Jones Day.

• Operational AI Washing: A New Securities Class Action

  

  In rising claims of operational AI washing — plaintiffs alleging that artificial intelligence was invoked to explain corporate business decisions in ways that may obscure underlying financial distress — earnings calls, restructuring disclosures and board-level communications will serve as key defense evidence, say attorneys at Akerman.

• Where The Preemption Fight Over Prediction Markets Stands

  

  While the Third Circuit's recent ruling in Kalshi v. Flaherty remains a significant win for the federal government in its quest to regulate prediction markets, the Fourth, Sixth and Ninth Circuits appear more skeptical, indicating that this fight is likely headed for the Supreme Court, says Johnny ElHachem at Holland & Knight.

• 4 Emerging Approaches To AI Protective Order Language

  

  Over the last year, at least five federal district courts have issued or analyzed specific protective order provisions restricting the use of generative artificial intelligence platforms with protected materials, establishing that proactive AI-specific provisions are now standard practice and demonstrating that no single model works for every case, says Joel Bush at Kilpatrick.

• 1st Surveillance Pricing Law In Md. Reflects Broader Scrutiny

  

  A new law will make Maryland the first state to target data-driven or surveillance-based price manipulation, highlighting increased scrutiny from federal and state enforcement agencies and policymakers as they consider whether new laws are required to regulate dynamic pricing, say attorneys at Pillsbury.

• Understanding The Insider Trading Gap In Prediction Markets

  

  While the first-ever insider trading indictment involving a prediction market — the recent prosecution of a service member involved in the capture of Nicolás Maduro — comprised extreme facts and straightforward legal theories, future cases will test the bounds of insider trading law, say attorneys at Baker McKenzie.

• Heppner Ruling Left AI Privilege Risk For Lawyers Unresolved

  

  While a New York federal judge’s recent ruling in U.S. v. Heppner resolved a privilege question surrounding client-side artificial intelligence use, it did not address how to mitigate the risks that can arise when confidential information enters the operative context of an AI system used by an attorney, says Jianfei Chen at Quarles & Brady​​​​​​​.

• The Ethics And Practicalities Of Representing AI Agents

  

  With autonomous artificial intelligence agents now able to take action without explicit instructions from — or the awareness of — their human owners, the bar must confront whether existing frameworks like informed consent and client privilege will be sufficient on the day an AI agent calls seeking counsel, say attorneys at Morrison Cohen.

• Notable Q1 Updates In Insurance Class Actions

  

  Notable insurance class action decisions from the first quarter of the year included reminders about the statute of limitations as a key defense for claims relating to allegedly deficient forms, the importance of focus on the specific contract at issue and further guidance on the contours of Rule 23, says Kevin Zimmerman at BakerHostetler.

• 9th Circ.'s Silence Prolongs Uncertainty On Cemex Framework

  

  By affirming a bargaining order in Cemex Construction Materials v. National Labor Relations Board without opining on the NLRB’s 2023 expansion of its authority to issue such orders, the Ninth Circuit avoided direct conflict with the Sixth Circuit’s rejection of the same framework, prolonging uncertainty for employers facing union elections, say attorneys at Dinsmore & Shohl.