Antitrust

Subscribe to Antitrust via RSS

The Federal Trade Commission (“FTC”) released a shutdown plan dated September 29, 2025, outlining how it will operate during this lapse in appropriations.

FTC Commissioners are presidential appointees and are excepted from furlough during the shutdown. According to the shutdown plan, furloughs will be issued on a rolling basis for…

The skies are darkening over the “walled garden” of Apple’s operating system. A Northern District of California court cleared the way for antitrust claims against Apple over its iCloud storage service on mobile devices. The court’s decision to deny Apple’s motion to dismiss in Gamboa v. Apple is a wake-up call for tech companies: courts are ready and willing to scrutinize platform-based restrictions, especially when those barriers are baked into product design. Judge Eumi Lee’s ruling also shows how a change in legal strategy can make all the difference for plaintiffs – or defendants – when charting a course through the early stages of antitrust litigation.

The Department of Justice and eight state attorneys general filed a civil antitrust lawsuit in August against RealPage Inc. – a Texas-based software company that provides property management software – and several landlords using its software. This case adds to the growing number of antitrust cases targeting algorithmic pricing tools, and is another example of federal regulators taking a tough stance on new AI technologies.

The Federal Trade Commission (“FTC”) has announced a final rulemaking on a unanimous vote that will expand the reporting requirements for mergers and acquisitions under the Hart-Scott-Rodino Antitrust Improvements Act of 1976 (the “HSR Act”). The new reporting requirements will go into effect after the new year in mid-January 2025. No changes will be made to the scope of transactions that are subject to HSR reporting.

The June 4, 2024 Ninth Circuit Court of Appeals decision in Sidibe v. Sutter Health marks a potential shift in how rule of reason antitrust cases are approached and adjudicated. The opinion underscores the significance of historical evidence in antitrust trials and places considerable emphasis on analyzing the purpose behind challenged conduct. 

Earlier this month, President Biden announced the formation of a “Strike Force on Unfair and Illegal Pricing.” This strike force will be an interagency group co-chaired by the FTC and DOJ. President Biden stated the group will focus on industries including “prescription drugs, health care, food and grocery, housing, [and] financial services.” While the exact makeup of the strike force is not clear, it has been reported that FTC Chair Lina Khan and Jonathan Kanter, Assistant Attorney General in the DOJ’s Antitrust Division, will co-chair it. 

The Federal Trade Commission’s Bureau of Competition and the Department of Justice Antitrust Division released a joint statement reiterating document preservation obligations for companies and individuals that are the subject of government investigations and litigations, emphasizing messaging platforms, such as Slack and Google Chats, that automatically delete communications. Both agencies announced updated language in their standard preservation letters, specifications for “second requests” used in pre-merger review under the Hart-Scott-Rodino Act, voluntary access letters, and grand jury subpoenas, to address these instant messaging platforms. The agencies emphasized that companies’ obligation to preserve information on such platforms is nothing new, explaining their clarification is to prevent companies from feigning ignorance if communications are not preserved after preservation obligations are triggered.

Pricing algorithms are nothing new. They are, generally speaking, computer programs intended to help sellers optimize prices in real time, or close to it. These programs can use data on demand, costs, or even competitors’ prices to “learn” to set the prices of products. What is new is the proliferation of these programs across industries and the emergence of artificial intelligence-driven pricing algorithms.