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Third Circuit Revives Algorithmic Pricing Antitrust Lawsuit

On July 29, 2026, the U.S. Caesars Entertainment, Inc., ruling that consumers plausibly alleged Atlantic City casino-hotels fixed room rates using Cendyn Group's Rainmaker algorithmic pricing software. The appellate decision marks a notable development in antitrust litigation surrounding…

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On July 29, 2026, the U.S. Caesars Entertainment, Inc., ruling that consumers plausibly alleged Atlantic City casino-hotels fixed room rates using Cendyn Group’s Rainmaker algorithmic pricing software. The appellate decision marks a notable development in antitrust litigation surrounding dynamic pricing algorithms, establishing how plaintiffs can sufficiently plead a hub-and-spoke conspiracy at the motion-to-dismiss stage.

Third Circuit Decision Reverses Lower Court Dismissal

According to the Third Circuit opinion issued on July 29, 2026, the appellate panel overturned a September 30, 2024, ruling by the U.S. District Court for the District of New Jersey, which had dismissed the lawsuit for failing to adequately plead a horizontal rim connecting the alleged conspiracy. The plaintiffs, consumers who directly rented guest rooms from the casino-hotels, alleged they paid artificially inflated prices. According to Paul, Weiss, Rifkind, Wharton & Garrison LLP, the decision stands as the second appellate ruling on algorithmic pricing conspiracies and the first to directly address the sufficiency of pleading hub-and-spoke coordination involving automated software.

The lawsuit targets several Atlantic City casino-hotels alongside software provider Cendyn Group, LLC, which acquired the Rainmaker suite in 2019, as reported by Paul, Weiss. The complaint alleges that participating hotels continuously supplied current, non-public room pricing and occupancy data to the Rainmaker software. The algorithm then processed this confidential commercial information alongside data from competing properties to generate automated rate suggestions multiple times per day.

Core Allegations of the Hub-and-Spoke Conspiracy

According to Baker McKenzie analysis of the litigation, the plaintiffs structured their case around a hub-and-spoke model, with the Atlantic City casino-hotels acting as the spokes and Cendyn’s Rainmaker software serving as the hub. Court records show that the automated rate recommendations were integrated directly into each hotel’s property-management system and accepted by the operators approximately 90% of the time.

To establish the horizontal agreement required under Section 1 of the Sherman Act, the Third Circuit evaluated several plus factors and conduct indicators. The court pointed to allegations of continuous software deployment during the class period, followed by sudden, synchronous movements in prices and output. Although defendants argued they adopted the tool across a 14-year timeline, the court rejected the defense logic, reasoning that an adaptive pricing tool creates opportunities for collusion at any point after implementation.

Legal Precedents and Appellate Splits

The Third Circuit’s ruling contrasts with prior federal outcomes in similar litigation. Cendyn Group, LLC, though the Ninth Circuit did not reach the hub-and-spoke question because plaintiffs abandoned that specific claim on appeal, according to Paul, Weiss documentation. By contrast, the Third Circuit squarely confronted the mechanics of algorithmic coordination, noting that while dynamic pricing algorithms are not inherently unlawful, pooling confidential competitor data to generate synchronized rates elevates antitrust exposure.

Third Circuit Revives Algorithmic Pricing Antitrust Lawsuit
Photo: bakermckenzie.com

Legal analysts emphasize that the decision does not determine liability, resolve software mechanics, or establish that any defendant violated antitrust laws. Instead, the ruling allows the litigation to proceed past the pleadings stage. The case returns to the lower court for further proceedings as courts nationwide grapple with the intersection of artificial intelligence, shared commercial data, and federal antitrust statutes.

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About the author: Anika Shah - Technology

MSc in Computer Science, senior reporter. Anika focuses on AI ethics, cybersecurity, and emerging hardware—frequently moderating panels at CES and Web Summit. “Anika Shah decodes tech breakthroughs and startup disruption shaping tomorrow’s digital landscape.”