Three States Now Ban Algorithmic Rent Pricing as DOJ Settlement Reshapes the Housing Technology Industry
California, New York, and Connecticut have enacted laws restricting algorithmic rent-setting tools, while the DOJ's landmark settlement with RealPage forces the industry to abandon real-time competitor data sharing.
Overview
The practice of using software algorithms to coordinate rental prices across competing landlords is facing its most significant legal reckoning. Three U.S. states have enacted laws restricting algorithmic rent-setting tools, and the Department of Justice has reached a landmark settlement with RealPage, the Texas-based company that controls roughly 80 percent of the commercial revenue management software market for multifamily housing. Together, these actions represent a sweeping regulatory response to what prosecutors have characterized as technology-enabled collusion that harmed millions of American renters.
The DOJ Settlement
In November 2025, the Department of Justice announced a proposed settlement with RealPage to resolve allegations that the company violated federal antitrust law by using nonpublic, competitively sensitive data from competing landlords to generate pricing recommendations. “RealPage was replacing competition with coordination, and renters paid the price,” said DOJ antitrust chief Gail Slater, as reported by Fortune.
The settlement imposes several structural restrictions on RealPage’s operations. The company can no longer use real-time nonpublic data to determine price recommendations. Any nonpublic data used for model training must be aggregated, anonymized, and at least 12 months old. RealPage must also stop conducting market surveys to gather competitive intelligence and cease discussing pricing strategies based on nonpublic data at industry meetings, according to Fortune.
The settlement also requires product redesigns and the appointment of a court-appointed monitor to oversee compliance, according to Fortune. Slater framed the outcome in terms of market impact: “It means more real competition in local housing markets. It means rents set by the market, not by a secret algorithm.”
Notably, the settlement includes no financial penalties and no admission of wrongdoing from RealPage.
How the Algorithm Worked
The DOJ originally filed its antitrust complaint in August 2024, joined by eight state attorneys general. The lawsuit alleged that RealPage contracted with competing landlords who agreed to share nonpublic, competitively sensitive information about rental rates and lease terms. The company’s software then used this pooled competitor data to generate pricing recommendations, as reported by TechCrunch.
The DOJ alleged that RealPage held a monopoly position, controlling approximately 80 percent of the U.S. market for commercial revenue management software in multifamily housing, according to TechCrunch. The software allegedly helped maximize price increases and minimize price decreases, effectively enabling competitors to coordinate without direct communication. Slate described the platform as a “secret tool” that allowed landlords to align pricing through a shared data intermediary while maintaining plausible deniability about direct coordination.
$141 Million in Landlord Settlements
Separately from the DOJ action, 26 property management companies agreed to pay a combined $141 million to settle class-action claims that they used RealPage’s rent-setting algorithms to artificially inflate housing costs, as reported by Fortune. Greystar, the nation’s largest landlord, accounted for $50 million of the total. BH Management paid $15 million, and Simpson Property Group paid $6.5 million. All 26 companies agreed to stop sharing nonpublic information with RealPage for its rent algorithm, a change settlement attorneys described as “a fundamental shift in the multifamily housing industry,” according to Fortune.
State Laws Take Effect
While the federal settlement addresses RealPage specifically, three states have moved to regulate algorithmic pricing more broadly.
California enacted AB 325, which took effect on January 1, 2026. The law amends the state’s principal antitrust statute, the Cartwright Act, to prohibit the use or distribution of a “common pricing algorithm” as part of a conspiracy to restrain trade. Uniquely among the three states, California’s law applies across all industries, not just housing. Penalties are substantial: corporate fines of up to $6 million and individual imprisonment of up to three years for criminal violations, plus treble damages and $1 million per violation in civil cases.
New York signed S.7882 into law, amending the Donnelly Act to prohibit landlords from using algorithms that incorporate competitor data to set rental rates. The law took effect on December 15, 2025. Criminal penalties include up to $1 million in corporate fines, treble damages, and $1 million per civil violation.
Connecticut enacted HB 8002, effective January 1, 2026, prohibiting the use of “revenue management devices” to set rental rates using nonpublic competitor data. Connecticut’s law is notably narrower, explicitly permitting algorithmic tools that rely on publicly available information.
All three states permit landlords to use algorithms based solely on their own internal data.
What We Don’t Know
Several important questions remain unresolved. The DOJ’s proposed settlement with RealPage still requires judicial approval under the Tunney Act, following a 60-day public comment period. Whether the settlement’s terms will be deemed sufficient to protect the public interest is not yet determined.
RealPage has simultaneously filed a First Amendment challenge against New York’s law in the Southern District of New York, arguing the statute unconstitutionally restricts its right to offer data-driven advice. The New York Attorney General’s office has agreed to stay enforcement against RealPage pending resolution of its preliminary injunction motion. The outcome of this case could establish whether algorithmic pricing recommendations constitute protected commercial speech or regulable anticompetitive conduct.
Additional states are considering similar legislation. Bills have been introduced in New Jersey, Illinois, Hawaii, Michigan, and North Carolina, though none have yet been enacted.
The settlement funds from the $141 million landlord class action are intended for distribution among millions of affected tenants, but the specific allocation mechanism and timeline have not been finalized.
Analysis
The convergence of federal enforcement and state legislation marks a significant inflection point for the property technology industry. For years, algorithmic pricing tools operated in a legal gray area, with proponents arguing they simply reflected market conditions and critics contending they enabled coordination among competitors without requiring direct communication.
The DOJ’s settlement draws a clear line: algorithms may use a company’s own data and sufficiently aged historical data, but real-time sharing of competitive intelligence through software intermediaries crosses into antitrust territory. This framework has implications well beyond housing. California’s decision to apply AB 325 across all industries signals that algorithmic pricing scrutiny may extend to hospitality, retail, and other sectors where competitors use shared platforms.
The RealPage case also demonstrates the limits of enforcement-by-settlement. Without financial penalties or an admission of wrongdoing, the deterrent effect depends entirely on the structural restrictions imposed and the monitor’s effectiveness. RealPage CEO Dirk Wakeham has stated that many of the required modifications were “already made or planned,” suggesting the company views the settlement as manageable rather than transformative.
For renters, the practical impact will depend on whether removing real-time competitor data from pricing algorithms meaningfully reduces coordination effects, or whether landlords find alternative methods to align their pricing. The answer may not become clear for years.