RealPage Settles DOJ Antitrust Case Over Alleged Rent-Fixing Algorithm

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The Department of Justice reached a settlement with RealPage over allegations that its software enabled landlords to collude on rent prices. The company will modify its algorithms to prevent sharing of competitively sensitive information between rival landlords.

DOJ Settlement Targets Algorithmic Rent Coordination

The Department of Justice announced Monday it has reached a proposed settlement with RealPage, the Texas-based software company accused of enabling landlords to coordinate rent increases through algorithmic pricing tools. The settlement, which requires court approval, would significantly restrict how RealPage collects and uses sensitive rental market data .

Source: New York Post

Source: New York Post

Under the agreement, RealPage admits no wrongdoing and faces no financial penalties. However, the company must fundamentally alter its software operations to prevent what prosecutors characterized as algorithmic price-fixing among competing landlords

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Source: NYT

Source: NYT

How RealPage's Algorithm Allegedly Worked

RealPage's YieldStar and AI Revenue Management systems collected nonpublic, competitively sensitive information from landlords, including rental prices, occupancy rates, lease terms, and vacancy data. The company then used this aggregated data to train algorithms that generated pricing recommendations for all participating landlords

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According to the DOJ's original complaint, RealPage collected data through over 50,000 monthly phone calls and market surveys covering approximately 11 million units across 52,000 properties. This information allegedly helped landlords "identify situations" where they could implement larger rent increases or eliminate renter-friendly concessions

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The company's software manages over 24 million rental units worldwide, giving it substantial market influence. A 2022 ProPublica investigation revealed that RealPage had achieved approximately 80 percent market share in rent-pricing software after a controversial 2017 merger approved by federal regulators

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Settlement Terms and Restrictions

The proposed settlement imposes several key restrictions on RealPage's operations. The company must stop using active lease data to train its pricing algorithms and can only utilize landlord data that is at least 12 months old. RealPage will also be prohibited from allowing rival landlords to access competitively sensitive information during runtime operations

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Additionally, RealPage must remove or redesign software features that limited price decreases or aligned pricing between competing users. The company will cease conducting market surveys that collected competitively sensitive information from landlords who didn't even use its software

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To ensure compliance, RealPage agreed to accept a court-appointed monitor for three years and designate an antitrust compliance officer. The company must also cooperate with the DOJ's ongoing lawsuit against property management companies that used its software

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Industry Impact and Broader Implications

The case represents one of the most prominent civil actions placing an algorithm at the center of a price-fixing allegation. Assistant Attorney General Gail Slater emphasized that "competing companies must make independent pricing decisions, and with the rise of algorithmic and artificial intelligence tools, we will remain at the forefront of vigorous antitrust enforcement"

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RealPage's attorney Stephen Weissman characterized the settlement as the DOJ blessing "the legality of RealPage's prior and planned product changes," stating there has been "a great deal of misinformation about how RealPage's software works and the value it provides for both housing providers and renters"

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The settlement follows years of scrutiny over rising rental costs. Recent Bureau of Labor Statistics data showed rents continuing to rise by 3.5 percent amid an ongoing affordability crisis. The case has prompted legislative action, with New York becoming the first state to ban algorithmic rent-setting practices in October

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Source: Ars Technica

Source: Ars Technica

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