What can AI do for a real estate agent?
Everything in the deal's text layer: drafting a lease, summarizing commercial terms for a client, polishing listing copy, comparing offers, and answering tenant and buyer questions quickly. None of these tasks needs the real names or ID numbers.
- Contract drafts and revisions — penalty clauses, guarantees, renewal options: drafting and sanity-checking language.
- Client summaries — turning ten legal pages into a one-page brief.
- Listing copy — a polished property description built from the unit's specs.
- Correspondence — professional replies to tenants, buyers and the other side's lawyer.
Which documents in a property deal are the riskiest?
The riskiest are those that join identity to money: the mortgage pre-approval, the pay slips attached to it, ID copies, and any contract carrying bank details. Even a 'simple' lease fully identifies two people.
- A lease — name, ID, address and phone of landlord and tenant, often guarantors too.
- A mortgage pre-approval for a buyer like John Miller — income, liabilities and credit limits.
- ID copies collected for signing.
- A purchase agreement — price, payment schedule and account details.
What are the rules when an agent pastes a contract into AI?
It is a disclosure of personal data to a third party, and the same data-protection rules that govern your files govern the paste. An agency that collects IDs and financial documents is responsible for that data — and the responsibility stays with the agency when the text moves to an AI vendor.
Vendor policies differ between tiers and change over time, and you control none of what happens server-side. What you do control is which details are in the text at the moment of pasting. The full list of what should never be pasted is a good starting point for an office policy.
How do you work on a contract with AI without exposing anyone?
- Run the document through anonymization before the paste: names, IDs, addresses and account numbers replaced with tokens.
- Use consistent tokens — PERSON_001 for the tenant, PERSON_002 for the landlord, ADDRESS_001 for the property — so the contract stays coherent and workable.
- Clean the file's metadata: the Author field, comments and tracked changes expose names even when the text is clean.
- Do the AI work — drafting, summarizing, clause review — on the clean copy.
- Restore the real details only in the final file, on your own machine.
The same principle serves insurance agents handling claims, and any office following a safe AI adoption plan: the work happens on the content, never on the identity.