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1Fix the driver behind crashes, sound loss and screen glitches2Repair Windows errors before they cause bigger problems3Scan for outdated or missing drivers - takes under a minuteIn a real estate transaction, use AI to speed up support work—not to make unverified decisions. It can help organize property information, draft marketing, answer routine inquiries, and flag document details for review. A qualified professional still needs to verify material facts, explain contractual terms, protect client information, and oversee the transaction. Rules vary by state, and AI should not independently decide legal, lending, housing-access, valuation, or contractual questions.
What AI can—and cannot—do in a transaction
AI in real estate includes generative tools that draft text, predictive systems that analyze market or property information, computer vision that identifies features in images or video, and automation that routes or organizes work. The National Association of REALTORS® (NAR) overview describes these as possible uses, not proof that any particular product is accurate or improves transaction outcomes.
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The most reliable operating model is assistive: give a tool a bounded task, retain the source material, and have a responsible person check its output before it affects a client or transaction. A generated description is not proof of a property feature; an estimate is not a verified valuation; and a document summary is not the contract.
Where AI can help, stage by stage
1. Property research and client discovery
Use AI to organize a buyer’s questions, summarize public or properly licensed information, or surface properties and issues for further investigation. Keep the source and date beside each material fact so someone can verify it. Confirm status, measurements, taxes, schools, permitted uses, and other decision-relevant details through authoritative records or the appropriate professional. Do not treat an AI response as an inspection, title opinion, legal conclusion, or verified valuation. NAR describes predictive analysis for market conditions, property values, and investment analysis, but does not validate any specific product’s accuracy.
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2. Listing preparation and marketing
Generative AI can produce a first draft of a listing description, email, or other marketing content; computer vision may identify visible features in property media. Compare every claim with seller-authorized information and the actual property, remove unsupported details, and review the final copy against applicable advertising and fair-housing requirements. Automated audience targeting must not exclude protected groups or materially restrict access to housing opportunities. HUD’s digital-platform guidance addresses Fair Housing Act concerns in AI- and algorithm-assisted housing advertising.
3. Inquiry handling and communication
A chatbot or assistant can handle routine questions from approved, current information or route inquiries to an agent. Set clear boundaries for what it may answer, and provide escalation to a person for personalized advice, complaints, or time-sensitive matters. Review outgoing messages for accuracy and tone. The North Carolina Real Estate Commission’s January 2026 bulletin discusses AI uses including chatbots, marketing, virtual staging, and lead generation, while emphasizing that ordinary legal and professional obligations continue to apply. It is state regulator guidance, not a nationwide rule summary.
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4. Offers and document review
AI may help extract names, dates, amounts, or clauses, compare versions, and assemble action items for a human to check. Verify every extracted detail against the actual signed document, amendments, and applicable deadlines; do not rely on a summary in place of those records. NAR’s 2026 Code of Ethics says agreements should use clear and understandable language and calls on REALTORS® to make reasonable efforts to explain the nature and specific terms of a contractual relationship before agreement. It also addresses financial-benefit disclosures in specified recommendations. AI does not remove those professional obligations.
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5. Electronic signing and closing
E-signature tools can help participants review, revise, and approve documents electronically. Remote online notarization (RON) lets a signer appear before a notary using online audio-video technology. NAR says most U.S. states have enacted permanent laws allowing RON subject to safeguards, but whether it is permitted and what requirements apply depend on the state and transaction. Check those requirements with the closing provider. NAR identifies DocuSign as its official and exclusive eSignature provider for members; that does not establish that DocuSign is an AI tool or that it is suitable for every transaction. See NAR’s digital closings and e-signatures overview.
How to choose a tool for the job
Compare tools against the actual workflow rather than choosing by an “AI-powered” label. Ask these questions before approving a tool or entering client information:
- Task fit: Which transaction stage and specific task does it support?
- Verifiability: Can staff inspect the source material behind an answer and check the output against it?
- Data handling: What personal information does the tool access, retain, or share, and who can access it? Review deletion and retention terms before use.
- Fair-housing exposure: Could the use affect who sees housing ads, how inquiries are handled, or how people are screened or evaluated?
- Security: What access controls and identity safeguards apply, especially around sensitive documents and payment instructions?
- Workflow fit: Does it work with the brokerage’s existing MLS, CRM, and transaction systems, and can staff escalate issues to a person?
- Operational cost: What are the total costs and staff learning demands, including review time?
These criteria reflect risks and adoption challenges identified by NAR, HUD, and California’s Department of Real Estate. The available sources do not establish tested product rankings, current vendor prices, feature-by-feature comparisons, or evidence that a particular AI package increases closing rates. NAR’s 2026 technology report announcement reports that, among surveyed agents, 63% cited the learning curve and 59% cited cost as technology challenges.
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Keep a responsible person in the loop
Treat AI output as a draft, lead, or summary. Assign a person to check material facts and client-facing claims, and make clear who can approve, correct, or escalate an output. California’s Department of Real Estate said in its March 17, 2026 advisory that responsibility for inaccurate AI-generated information or misleading communications rests with the licensee and responsible broker under current California law, with supervisory obligations extending to tools used in licensed or unlicensed activities. That advisory is California-specific; check the rules that apply where the transaction takes place.
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Pay particular attention when a tool affects ad delivery, recommendations, inquiry handling, or screening. Review whether the process could deny equal access to information or housing opportunities, and check current law and official guidance. HUD’s 2024 release describes Fair Housing Act concerns involving AI-assisted screening and advertising. HUD also maintains current fair-housing materials; agency positions and policies can change.
Limit client data and govern tools at the brokerage
Give a tool only the information needed for its task. Before submitting client material, check access, retention, sharing, and deletion terms; the cited sources do not establish one universal retention period or security standard. Brokers can reduce uncertainty by identifying which tools agents use, maintaining an approved-platform list, and setting policies for permitted data, disclosure, review, recordkeeping, and escalation. NAR’s broker risk guidance specifically recommends identifying tools, approving platforms, and implementing AI governance policies.
Make payment changes a high-risk checkpoint
Impersonation and deepfakes add to existing identity, title, and wire-fraud threats. Treat any changed transfer or wiring instruction as untrusted until confirmed through a known, independently verified channel—not by replying to the message that announced the change. Ask the closing provider how it verifies identity, authority, bank information, and payment instructions; how it communicates changes; what safeguards its payment options provide; and how it responds to suspected fraud. NAR’s fraud guidance cautions against assuming an electronic payment method is safe simply because it is electronic.
If fraud is suspected, pause the transaction, alert the responsible broker and closing provider, and preserve relevant communications. Agree on this response process before a suspicious change arrives. NAR’s September 30, 2026 announcement describes its fraud resource and recommends asking closing providers about their verification and response practices.
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What adoption numbers do—and do not—show
NAR’s announcement of its 2026 REALTORS® Technology Report, published September 22, 2026, says 23% of surveyed agents used AI daily and 25% weekly. In that survey, 81% named saving time and 71% improving the client experience as primary reasons for technology adoption; 57% named closing more deals. These are survey responses from NAR’s agent population, not evidence that AI improves transaction outcomes or that all U.S. agents use these tools. The figures indicate interest and reported use, not a guarantee of better decisions or faster closings.
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