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AI can make parts of a real estate transaction faster—such as drafting listing copy, organizing property information, summarizing documents, and routing routine questions—but it should support, not replace, professional judgment. Buyers, sellers, agents, and brokers should verify consequential facts, protect client data, and keep a qualified person responsible for decisions and client-facing work.
What AI can—and cannot—do in a real estate transaction
“AI” covers several kinds of tools. Generative AI creates or adapts text; predictive analytics looks for patterns in market, property, or investment data; computer vision analyzes images or video; and automation routes information or handles repeatable workflow steps. The National Association of REALTORS® (NAR) describes these as real estate uses, while emphasizing human oversight and noting risks involving bias, privacy, and changing rules. Those use cases do not establish that any particular product is accurate or that AI independently improves transaction outcomes. NAR’s AI overview
AI is part of many NAR members’ technology use, but adoption is not proof of better results. In its September 22, 2026 announcement of the 2026 REALTORS® Technology Report, NAR said 23% of surveyed agents used AI daily and 25% weekly. In the same survey, 81% named saving time as a primary reason for adopting technology, 71% cited improving client experience, and 57% cited closing more deals; 63% cited the learning curve as a technology challenge and 59% cited cost. These figures describe NAR survey respondents, not all agents or consumers, and do not show that technology caused more deals to close. NAR’s 2026 report announcement
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1. Property research and client discovery
Use AI to organize a buyer’s criteria, summarize public or properly licensed information, or surface properties and questions for follow-up. Keep the source and date alongside material facts so a client or agent can check them. Verify property status, measurements, taxes, schools, permitted uses, and other decision-relevant details through authoritative records or the appropriate professional. A generated estimate is not a verified valuation, inspection, title opinion, or legal conclusion. NAR identifies predictive analytics as a possible real estate use but does not validate a specific product’s accuracy. NAR’s AI overview
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2. Listing preparation and marketing
Generative AI can draft listing descriptions, emails, and other marketing content; computer vision may help identify visible features in photos or video. Have a person compare every claim with seller-authorized facts and the actual property, then remove anything unsupported. Review the content and how it is delivered for applicable advertising and fair-housing requirements. In particular, do not use automated audience targeting to 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. NAR’s AI overview; HUD digital advertising guidance
3. Inquiry handling and client communication
A chatbot or AI assistant can help answer routine questions from approved, current information or route a question to the agent. Set clear boundaries: personalized advice, unusual questions, and time-sensitive matters should reach a responsible person. Review outgoing messages for accuracy and tone. A January 2026 bulletin from the North Carolina Real Estate Commission discusses AI uses such as chatbots, marketing, virtual staging, and lead generation while reminding licensees that ordinary legal and professional obligations still apply; it is state regulator guidance, not a nationwide rule summary. North Carolina Real Estate Commission bulletin
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4. Offers, contracts, and document review
AI can help extract names, dates, amounts, or clauses for a person to check, or compare document versions and assemble action items. Treat its summary as a navigation aid, not as the contract: confirm details against the actual signed agreement, amendments, and deadlines. NAR’s 2026 Code of Ethics says agreements should use clear and understandable language and that REALTORS® should make reasonable efforts to explain the nature and specific terms of a contractual relationship before agreement. It also addresses disclosure of financial benefits in specified recommendations. These professional obligations remain relevant when a tool assists with the work. 2026 NAR Code of Ethics and Standards of Practice
5. Electronic signing and remote notarization
Electronic-signature tools let participants review, revise, and approve documents digitally. Remote online notarization (RON) lets a signer appear before a notary through online audio-video technology. NAR says most U.S. states have enacted permanent laws permitting RON subject to safeguards, but the rules and transaction requirements must be checked for the relevant state and transaction. NAR identifies DocuSign as its official and exclusive eSignature provider for members; that member-specific fact does not establish that DocuSign is an AI tool or that it is suitable for every user. NAR on digital closings, e-signatures, and remote notarization
6. Closing logistics and payment-fraud prevention
Identity checks and payment instructions are high-risk points in a transaction. AI-generated impersonations and deepfakes add to existing identity, title, and wire-fraud threats. NAR’s fraud resource recommends asking a closing provider how it verifies identity, authority, bank information, and payment instructions; how it communicates changes; what safeguards its payment options offer; and how it responds to suspected fraud. Do not assume an electronic payment method is secure simply because it is electronic. NAR fraud guidance; NAR’s September 30, 2026 announcement
Safeguards for using AI responsibly
Keep a qualified person accountable
Use AI output as a draft, lead, or summary; have the responsible professional confirm material facts and client-facing claims. California’s Department of Real Estate (DRE) said in a 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, and that supervisory obligations extend to tools used in licensed or unlicensed activities. That advisory is California-specific; check the rules applicable to the transaction’s jurisdiction. California DRE advisory
Review housing access and fairness
When AI helps select audiences for housing ads, recommend properties, or screen people, assess whether the process could discriminate or deny equal access to information or opportunity. HUD’s 2024 materials discuss Fair Housing Act concerns in AI-assisted screening and advertising. Because agency materials and policy can change, consult HUD’s current fair-housing materials and applicable law before relying on older guidance. HUD’s 2024 AI release; HUD fair-housing rights and obligations
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Give a tool only the information needed for its task. Before entering client or transaction data, check the tool’s terms for retention, sharing, access, and deletion, and apply the brokerage’s data-handling rules. NAR and California DRE identify privacy and data concerns, but do not establish a universal retention period or one security standard suitable for every tool and transaction. NAR’s AI overview; California DRE advisory
Set brokerage rules and escalation paths
Brokers can identify the tools agents use, approve platforms, and establish policies covering permitted data, review, disclosure, recordkeeping, and escalation. NAR’s broker-risk guidance specifically advises brokers to identify tools agents use and implement AI governance policies. State licensing and notarization requirements differ, and federal guidance can change; check official sources for the relevant location and use, particularly for housing advertising, tenant screening, and lending decisions. NAR broker-risk guidance
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.How to choose an AI tool for real estate work
Compare tools against the specific task and the risk of getting it wrong, rather than choosing on a broad promise of “AI.” Evaluate:
- Task fit: What transaction stage and defined task does the tool support?
- Verifiability: Can users see the source material and check the output against it?
- Data handling: What personal information does it access, retain, or share?
- Fair-housing risk: Could this use affect ad delivery, recommendations, screening, or access to housing?
- Security: What identity, access, and payment safeguards matter for this use?
- Workflow fit: Does it work with the brokerage’s existing MLS, CRM, and transaction systems?
- Human oversight: Who reviews the output, handles exceptions, and answers client questions?
- Operational cost: What are the total costs and the staff learning curve?
These criteria reflect issues identified by NAR, HUD, and California DRE. The available evidence does not establish tested product rankings, current vendor pricing, feature-by-feature comparisons, or proof that a particular AI package increases closing rates. NAR’s 2026 technology report announcement; NAR’s AI overview; HUD digital advertising guidance
Quick Recap
A practical rollout for agents and brokers
- Choose one bounded task. Start with a repeatable, lower-risk activity such as drafting a message or organizing public information, not an automated legal, lending, housing-access, valuation, or contractual decision.
- Set data limits before use. Decide what information may be entered and check the tool’s data terms and brokerage policy.
- Define the reviewer. Name the person who verifies facts, approves client-facing output, and handles questions the tool cannot answer.
- Test the workflow against source records. Check representative outputs for missing, inaccurate, or unsupported details before relying on the process in a live transaction.
- Document and escalate exceptions. Preserve the appropriate records under brokerage policy and specify when work must pause for a broker, agent, settlement provider, or other qualified professional.
- Reassess periodically. Review performance, cost, staff learning needs, and applicable official guidance as the tool or rules change.
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