Tenant data, privacy and licensing records to AI: what property managers should check
Short answer: The main risks are tenant personal data, consumer reports from screening, owner-client contracts and MLS content. Exclude what you can't share, have a buyer de-identify the rest, and get your attorney to review scope before any sample leaves your systems.
A pre-call checklist
- List your systems: email, property management software, accounting, maintenance, chat, CRM.
- Mark records that hold tenant screening or credit reports (FCRA).
- Check owner management agreements for confidentiality clauses.
- Check MLS and listing-syndication agreements for AI-training limits (example MLS policy).
- Check your privacy notices and state privacy laws.
- Don't share samples before review. A law-firm guide warns that a sample itself can be a disclosure (Frankfurt Kurnit).
What buyers say they do
Mode says it removes sensitive material and transforms personal information before the AI customer sees the data, lets the owner audit a sample, and excludes health records, payment card data and children's data (Mode affiliate FAQ).
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Start the free checkFrequently asked questions
Is de-identification enough?
Not always. A careful approach is to exclude high-risk data entirely rather than rely on de-identification, as Frankfurt Kurnit recommends.
Who decides what's in scope?
You do. The programs describe an agreed scope set in writing before anything is uploaded.
Sources
- FTC: Fair Credit Reporting Act
- ARMLS Content Access Policy (AI training rules)
- Frankfurt Kurnit: Selling Company Data for AI Training
- Mode affiliate FAQ (PDF, dated Oct 14, 2026)
Referral-fee disclosure: we may be paid by a program if your company signs with it after using this site. General information only, not legal advice.