Who at a real estate company should track these rules?

Real-estate GC, property-management compliance lead, or PropTech counsel is typically the role accountable for real estate-AI compliance. AIGI is designed to put primary-source updates in front of this role daily.

How many real estate AI items does AIGI track?

AIGI currently tracks 106 primary-source items where real estate appears as an affected industry, spanning 8+ jurisdictions. The corpus is updated continuously.

Which jurisdictions are most active on real estate AI?

Activity varies by sub-sector. AIGI's coverage map shows per-jurisdiction depth, and each item links to its primary authority source. See /coverage for the live distribution.

Where do AIGI's real estate citations come from?

Every item on this page links to its primary government, regulator, or research source. AIGI does not paraphrase secondary commentary — our citation methodology is documented at /how-we-cite.

Industry · AI tenant-screening fair-housing, AI valuation rules, and PropTech disclosure

AI Compliance for Real Estate

AI in real estate touches fair-housing enforcement against AI tenant-screening (HUD, state AG actions), AI property-valuation transparency, AI-driven property management disclosure, and AI in mortgage decisioning. AIGI tracks every primary-source AI rule for landlords, property managers, PropTech vendors, and mortgage providers. As of the most recent update, AIGI tracks 106 primary-source items affecting real estate.

Who tracks this?

Typically: Real-estate GC, property-management compliance lead, or PropTech counsel. AIGI is built to put primary-source AI updates affecting real estate in front of this role daily — with citation chains, status timelines, and obligation mapping.

Coverage at a glance

Items tracked: 106
Jurisdictions: 8
Last update: 6/18/2026

Most active jurisdictions for real estate AI

Recent real estate AI activity

NC news analysis settled 6/18/2026

[North Carolina AG] Attorney General Jeff Jackson Reaches $7 Million Settlement with North Carolina Landlord to Stop Setting Rent using AI and Non-Public Information

North Carolina AG Jeff Jackson and eight other attorneys general reached a $7 million settlement with landlord LivCor, LLC, prohibiting the use of AI and non-public data for rent setting.

Authority: North Carolina Attorney General
MN enforcement action settled 6/18/2026

Attorney General Ellison announces $7 million settlement with property management company, LivCor, for its role in algorithmic rent alignment scheme

Minnesota AG announces a $7 million settlement with LivCor for using algorithmic rent-setting software to illegally align rental prices and stifle competition.

Authority: Minnesota Attorney General
CO enforcement action settled 6/18/2026

[Colorado AG] Attorney General Phil Weiser announces $7M settlement with corporate landlord LivCor for role in algorithmic rent-setting scheme

The Colorado Attorney General announced a $7 million settlement with LivCor, LLC, for its involvement in an algorithmic rent-setting scheme, as part of a bipartisan coalition of nine attorneys general.

Authority: Colorado Attorney General
NY legislation enacted 5/13/2025

[NY Legislature] S7882 (2025-2026): Relates to the use of algorithmic pricing by landlords for the purpose of determining the amount of rent to charge a residential tenant

New York bill S7882 prohibits residential landlords and software providers from using algorithmic pricing to facilitate anti-competitive agreements among rental property owners.

Authority: New York Legislature
MA press release settled

AG Campbell Reaches $7 Million Multistate Settlement with Nation's Largest Landlord for Anticompetitive Algorithmic Pricing Scheme that Harms Renters

Massachusetts AG and a multistate coalition settled with Greystar for $7 million over anticompetitive algorithmic pricing schemes harming renters, requiring specific prohibitions on algorithm use and data sharing.

Authority: Massachusetts Attorney General
MA enforcement action settled

AG Campbell Reaches $7 Million Multistate Settlement with Nation's Largest Landlord for Anticompetitive Algorithmic Pricing Scheme that Harms Renters

Massachusetts AG and a bipartisan coalition reached a $7 million multistate settlement with Greystar for an anticompetitive algorithmic pricing scheme that harmed renters, requiring behavioral changes.

Authority: Massachusetts Attorney General
MA enforcement action settled 11/19/2025

AG Campbell Reaches $7 Million Multistate Settlement with Nation's Largest Landlord for Anticompetitive Algorithmic Pricing Scheme that Harms Renters

Massachusetts receives $621,988 as part of a $7 million multistate settlement with Greystar over alleged anticompetitive algorithmic pricing schemes.

Authority: Massachusetts Attorney General
IL enforcement action settled

ATTORNEY GENERAL RAOUL ANNOUNCES $7 MILLION SETTLEMENT WITH LIVCOR FOR ITS ROLE IN ALGORITHMIC RENT ALIGNMENT SCHEME

Illinois AG and a bipartisan coalition announce a $7 million settlement with LivCor for using algorithmic software in an illegal rent alignment scheme, impacting rental prices.

Authority: Illinois Attorney General
MA enforcement action settled

AG Campbell Secures $7 Million Multistate Settlement With Property Management Company Livcor Over Algorithmic Rent Pricing Scheme

The Massachusetts Attorney General, as part of a multistate coalition, settled with LivCor for $7 million over the company's use of algorithmic rent pricing software in anticompetitive practices.

Authority: Massachusetts Attorney General
US regulation final rule 8/7/2024

[OCC] Quality Control Standards for Automated Valuation Models

Federal agencies adopt a final rule implementing Dodd-Frank's quality control standards for automated valuation models (AVMs) used in mortgage collateral determinations, requiring institutions to ensure high confidence, prevent data manipulation, avoid conflicts, and comply with nondiscrimination laws.

Authority: Office of the Comptroller of the Currency
MN enforcement action settled 11/19/2025

Attorney General Ellison announces $7 million settlement with nation’s largest landlord over algorithmic pricing scheme

Minnesota AG and a bipartisan coalition announced a proposed $7 million settlement with Greystar, the nation's largest landlord, over an unlawful algorithmic rent-pricing scheme.

Authority: Minnesota Attorney General
NJ legislation committee 9/26/2024

[NJ Legislature] S3657 (2024-2025): Makes use of algorithmic systems to influence price and supply of residential rental units unlawful.

New Jersey Bill S3657 proposes to make the use of algorithmic systems to influence the price and supply of residential rental units unlawful.

Authority: New Jersey Legislature

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Frequently asked questions

Which AI laws apply to real estate?: AI in real estate touches fair-housing enforcement against AI tenant-screening (HUD, state AG actions), AI property-valuation transparency, AI-driven property management disclosure, and AI in mortgage decisioning. AIGI tracks every primary-source AI rule for landlords, property managers, PropTech vendors, and mortgage providers.
Who at a real estate company should track these rules?: Real-estate GC, property-management compliance lead, or PropTech counsel is typically the role accountable for real estate-AI compliance. AIGI is designed to put primary-source updates in front of this role daily.
How many real estate AI items does AIGI track?: AIGI currently tracks 106 primary-source items where real estate appears as an affected industry, spanning 8+ jurisdictions. The corpus is updated continuously.
Which jurisdictions are most active on real estate AI?: Activity varies by sub-sector. AIGI's coverage map shows per-jurisdiction depth, and each item links to its primary authority source. See /coverage for the live distribution.
Where do AIGI's real estate citations come from?: Every item on this page links to its primary government, regulator, or research source. AIGI does not paraphrase secondary commentary — our citation methodology is documented at /how-we-cite.

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Important — about this brief

This brief is published by AIGI as a regulatory intelligence service. It contains general information about AI laws, regulations, enforcement actions, and policy signals across jurisdictions. It is not legal, compliance, audit, or risk-management advice; it does not establish an attorney-client, advisory, or fiduciary relationship; and it should not be relied upon as a substitute for professional counsel applied to specific facts and circumstances. Where the brief identifies “Issues for Review,” those are observations of questions a reader in a particular role might raise with their own legal, compliance, or risk function — not recommendations to act. AIGI expressly disclaims liability for actions taken or not taken in reliance on this brief. Subscribers in regulated industries should consult licensed professionals authorized to practice in their jurisdiction.

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