It doesn’t help that many platforms on the market today make big claims about speeding up revenue decisions, with very little lift for your team. It sounds great in theory, but the promise to “set it and forget it” tends to raise more questions than it answers: How does the software actually work? How can you verify that its outputs are correct? And how can you be sure that the platform complies with antitrust laws?
What the DOJ Settlement Changed
Revenue management works well only when adequate guardrails are in place to ensure compliance. After recent litigation against a major multifamily vendor brought significant scrutiny to the industry, it’s important that multifamily operators understand what happens now.
The settlement follows an investigation into a platform that allegedly drove significant rent hikes by pooling nonpublic competitor data and providing pricing advice. The Department of Justice issued the settlement in November 2025, and its terms clarify what revenue management platforms can and cannot do.
The Right Way to Do Revenue Management
Revenue management shouldn’t carry a stigma. When used correctly, legitimate platforms provide the data-backed recommendations needed to make smarter pricing decisions without putting your portfolio at risk.
Daylight was built with transparency in mind from day one. Our platform runs on defensible, publicly sourced pricing data, so operators never need to guess whether something is legal.
With legitimate revenue management:
- Only public data is used. Risky revenue platforms run on competitors’ active leases and other nonpublic data. Daylight is informed by over 16 million public lease records. These numbers aren’t hiding in your competitors’ servers — they’re listed publicly across websites and ILS listings.
- The logic is fully visible. Opaque platforms use black-box algorithms that only the supplier can understand. Daylight runs exclusively on your own portfolio data and public market signals, and every input is traceable, should you ever need to justify a pricing decision.
- Your team makes the final call. Daylight’s recommendations are a starting point, not a mandate. We explain the reasoning behind every pricing decision and never require you to follow a particular pricing model. Human judgment always has the final word.
How Daylight Holds Up to the DOJ Ruling
Daylight delivers everything effective revenue management should. Here’s how it holds up in the three areas the Department of Justice settlement specifically addressed.
Data and Training
Daylight never uses competitors’ nonpublic data at runtime or trains on active leases from other owners. Nonpublic training data is at least 12 months old. Daylight does not practice sub-statewide targeting and excludes nonpublic rent data from market rent calculations or rankings.
Product Features
Daylight’s auto-accept feature operates only within user-defined parameters, and all floors and ceilings are symmetric. Daylight never lowers target lease counts to artificially inflate prices, and sold-out logic relies solely on a property’s own data. Daylight also does not require or incentivize portfolios that accept its recommendations.
Information Sharing
Daylight does not collect private competitor information through market surveys, and such data is not part of the product. Nonpublic data is never shared at vendor-hosted meetings, and advisors are prohibited from sharing nonpublic data from unaffiliated parties.
State-Level Mandates
Besides federal mandates, many cities and states have laws to regulate deceptive revenue practices.
Section 340-B – New York (2025)
Section 340-B bans revenue management software that uses data from two or more unaffiliated owners, exempting single-owner data. Daylight’s New York customers operate under a single-owner model to ensure full compliance.
AB 325 – California (2026)
AB 325 prohibits common pricing algorithms used in a conspiracy or to coerce pricing behavior. Daylight runs independent customer instances with no shared data, no conspiracy, and no coercion.
Penal Code 396 – California
California’s Penal Code 396 caps rent increases at 10% during declared states of emergency. Daylight has built-in state-of-emergency controls to ensure customers stay within legal limits when it matters most.
Municipal Ordinances (2024–2025)
Several cities across the nation are adopting their own versions of antitrust laws. Most regulations target software that relies on nonpublic competitor data. Daylight’s public-data architecture places it entirely outside the scope of these restrictions.
Revenue Management Isn’t Risky
The scrutiny around revenue management is legitimate, but it was never aimed at the practice itself. It was aimed at one specific way of doing it.
Daylight takes the guesswork out of multifamily revenue management. With Daylight, you use your own data, work with publicly available inputs, and retain firm control over every pricing decision. It’s the way revenue management should be: transparent, compliant, and effective.
See how Daylight optimizes your portfolio without the risk.

Frequently Asked Questions
Common questions about compliant revenue management
Multifamily revenue management software helps operators make smarter pricing decisions by analyzing market conditions, occupancy, and leasing trends to recommend rents that keep portfolios competitive and boost revenue.
The Department of Justice's November 2025 settlement clearly outlined federal expectations for revenue management platforms. Specifically, the settlement forbids using nonpublic data from active leases, analyzing market conditions at a level narrower than the state level, using platform features that promote coordination, and deploying market surveys to gather information from competitors.
Yes, legitimate revenue management platforms adhere to algorithmic pricing regulations. Make sure your supplier meets DOJ standards by using only publicly sourced data, maintaining transparent pricing methods, and giving human team members the final authority on pricing decisions.
Daylight uses AI to analyze more than 16 million public lease records and your portfolio data, delivering pricing suggestions grounded in current market conditions to boost revenue. Every suggestion is backed by clear, defensible logic, so you know exactly where each number comes from.
Look for a platform that relies solely on publicly sourced data, does not hide its algorithm in a black box, and keeps pricing decisions within your team. Avoid platforms that pool customer data, conceal pricing logic, and incentivize teams to adopt their recommendations without question.
