Appeals Court Revives AI Pricing Case Against Atlantic City Casinos
Appeals Court Revives AI Pricing Lawsuit Against Atlantic City Casinos – Antitrust Claims to Proceed Under Federal Law
Key Takeaways
- The 3rd US Circuit Court of Appeals reinstated a proposed class action against major Atlantic City casino operators.
- Plaintiffs allege casinos used an AI driven revenue management system to coordinate hotel room rates.
- The ruling allows claims under federal antitrust law to proceed.
- The decision contrasts with a 2025 ruling by the 9th US Circuit Court of Appeals that dismissed a similar case in Nevada.
- The court stated that AI software can facilitate collusion without direct communication between competitors.
Federal Appeals Court Reinstates Proposed Class Action
A federal appeals court has allowed a proposed class action lawsuit against major Atlantic City casino operators to move forward, reopening allegations that the companies coordinated hotel room pricing using artificial intelligence technology.
According to Reuters, the 3rd US Circuit Court of Appeals in Philadelphia ruled that plaintiffs presented sufficient grounds for their claims under federal antitrust law. The court’s decision reinstates the case after it had previously been dismissed at the district court level.
The lawsuit accuses casino operators in Atlantic City of using an AI driven revenue management platform to align hotel room rates and overcharge guests. By allowing the case to proceed, the appeals court determined that the plaintiffs should have the opportunity to further develop their claims and seek technical evidence about how the software operates.
Allegations Focus on AI Driven Revenue Management System
At the center of the dispute is Rainmaker, a revenue management platform developed by software maker Cendyn. According to the complaint, hotel owners submitted real time pricing and occupancy data to the Rainmaker system. The platform then applied AI assisted algorithms to generate pricing recommendations for participating properties.
Plaintiffs argue that this structure enabled competing casino hotels to coordinate room rates indirectly. Instead of communicating directly with each other, operators allegedly relied on the shared system to adjust prices in response to aggregated market information.
The 3rd Circuit panel addressed this issue directly in its opinion. The judges wrote that AI software can facilitate collusion by enabling competitors to coordinate prices and share information without ever communicating with each other. This statement forms a central part of the court’s reasoning in allowing the antitrust claims to proceed.
Lower Court Dismissal and Reversal on Appeal
The case had previously been dismissed in October 2024 by US District Judge Karen Williams. In that ruling, the court found that plaintiffs did not adequately demonstrate how the New Jersey hotels used the allegedly confidential data once it was transmitted to Cendyn.
The appeals court took a different view. The 3rd Circuit panel concluded that the plaintiffs should be permitted to obtain technical evidence regarding the software’s function before their claims are dismissed. By reinstating the lawsuit, the court signaled that the alleged use of AI assisted pricing tools warrants further judicial examination under existing antitrust standards.
Christopher Cormier, an attorney for the plaintiffs at Burns Charest, stated that the ruling applies established legal principles to modern technologies that have the capacity to affect competition and consumers across important segments of the economy.
Split Between Federal Circuits on AI and Antitrust
The decision by the 3rd Circuit departs from a separate ruling issued in August 2025 by the 9th US Circuit Court of Appeals in San Francisco. In that case, the 9th Circuit dismissed a comparable lawsuit brought by casino customers in Nevada.
The differing outcomes create a split between the two federal circuits on how antitrust law applies to AI assisted pricing tools. While the 9th Circuit rejected similar claims, the 3rd Circuit has now determined that such allegations can move forward, at least at the pleading stage.
Circuit splits can influence how federal law is interpreted across jurisdictions, as different appellate courts may apply legal standards in distinct ways. In this instance, the divergence centers on whether the use of algorithmic pricing systems, supported by shared data inputs, can plausibly constitute unlawful coordination under federal antitrust law.
Implications for Casino and Hospitality Pricing Practices
The lawsuit specifically targets hotel room pricing in Atlantic City casinos. Revenue management systems are commonly used in the hospitality sector to adjust rates based on demand, occupancy, and other market indicators. The plaintiffs contend that when competing operators feed data into a shared AI platform, the resulting pricing recommendations may reduce independent decision making.
The appeals court’s ruling does not determine liability. Instead, it allows the plaintiffs to continue pursuing their claims and to seek further evidence regarding how the Rainmaker system functions and how participating casinos used its recommendations.
For casino operators and hospitality businesses that rely on algorithmic pricing tools, the case highlights how courts are beginning to assess the interaction between emerging technologies and established competition law principles.
Our Assessment
The 3rd US Circuit Court of Appeals has reinstated a proposed class action alleging that Atlantic City casinos coordinated hotel room prices through an AI driven revenue management system. By allowing the case to proceed under federal antitrust law and recognizing that AI software can potentially facilitate price coordination without direct communication, the court has created a split with the 9th Circuit, which previously dismissed similar claims in Nevada. The litigation will now continue, with further examination of the technical operation of the Rainmaker platform and its role in hotel pricing decisions.
We have imposed strict editorial guidelines on ourselves and explain our testing methods openly and comprehensively. We also communicate transparently how our work is financed. This site may contain tracking links, but this does not influence our objective view in any way.