DOJ's RealPage settlement rewrites the rules for algorithmic rent pricing

The Department of Justice announced a proposed settlement with RealPage on November 24, 2025, resolving its antitrust lawsuit over the company's algorithmic rental pricing software. The DOJ, joined originally by eight states, had alleged RealPage's revenue management products used competitively sensitive, non-public data pooled from competing landlords to generate rent pricing recommendations, in violation of the Sherman Act.

RealPage admitted no wrongdoing, but agreed to real operational constraints: the settlement, effective for seven years, restricts the company to using data at least 12 months old for certain purposes, prohibits real-time lease data in its pricing algorithms, and bans geographic pricing models below the state level. It also requires RealPage to accept a court-appointed monitor and submit a written antitrust compliance policy for DOJ approval.

The financial exposure has landed separately, through private litigation. On October 1, 2025, 26 defendants in the parallel multidistrict class action in Tennessee reached preliminary settlements totaling $141.8 million, with individual payments ranging from $550,000 to $50 million, without admitting liability. RealPage and remaining property-owner defendants continue to contest the underlying price-fixing claims.

The legal framework is spreading beyond RealPage specifically. New York's Donnelly Act was amended, effective December 15, 2025, to explicitly cover algorithmic rent-setting arrangements and the third parties that facilitate them, and European regulators have begun their own inquiries — a senior European Commission official confirmed in July 2025 that the EC was examining multiple algorithmic pricing investigations, while Poland's antitrust authority said in September 2025 it was investigating potential algorithmic collusion in banking and pharmaceuticals. The throughline for any company running a pricing algorithm that ingests competitor data: the more current, granular and automatically-implemented the pricing output, the higher the antitrust exposure — a distinction now written directly into a federal consent decree.