What the 2026 NAR technology report says agents use
Oct 31, 2026 · 5 min read
The listing description took thirty seconds. You pasted the property details into ChatGPT, read what came back, cut the line about the "chef's kitchen," and posted it. The purchase agreement on the same house got a pen, twelve pages, and twenty minutes of typing deadlines into your calendar one at a time.
If you use AI at all, that split puts you with most of the agents the National Association of Realtors surveyed. Its 2026 Realtors Technology Report, released Sep 22, 2026, is based on about 1,200 agents. Inman puts it more precisely: 1,165 usable responses, collected in June, from 73,718 members invited. So read it as members who chose to answer, not as a census of the business.
What agents name as the tools they use most
NAR's list is what agents "say they most often use for their business." The multiple listing service (MLS) is close to universal, and four in five agents sign on a screen. Comparative market analysis (CMA) tools and customer relationship management (CRM) systems sit in the middle. Transaction management, the software whose whole job is the contract after it's signed, comes eighth.
Top eight of thirteen. Source: NAR, 2026 Realtors Technology Report.
Seventy-nine percent sign electronically. Thirty-six percent name a tool built to do anything with the contract afterward. For an agent who signs on a screen and runs no transaction software, the contract arrives as a finished digital file, and its deadlines still leave it by hand.
Where AI stops
75%
Write listing descriptions
27%
Review or summarize documents
10% or less
Summarize contracts and disclosures
Shares of agents who use AI. NAR reports the bottom uses only as 10% or less of respondents.
The bottom of NAR's list of AI uses reads like a transaction coordinator's job description: recommending next steps in a transaction timeline, creating an automatic client update or status report, summarizing disclosures and contracts, and auto-filling forms from client-provided information. Each came in at 10% or less.
The easy explanation is caution
WRE News reads the gap as agents staying "more cautious about handing transaction-critical work to automated systems". The numbers back part of that. Twenty-seven percent of AI users already have it review or summarize documents, so the hesitation is about contracts in particular.
Caution is right. We think it's aimed at the wrong step.
A listing description is the finished product. You read every word before it posts, so the checking is built into the job, and a bad adjective costs you nothing. A contract summary is no product at all. What you need from a contract is a set of dates in the places your deal runs on: your calendar, the file, and the email to the lender. Ask a chat window for a summary and you get a paragraph you have to check against the PDF and then retype anyway. Two jobs where there was one.
Of course almost nobody bothers. The 10% is a verdict on chat windows, and it tells you very little about whether software can read a contract. The 81% who say they choose tools to save time, up from 66% a year earlier, are right to skip a step that saves none. The same release has 63% naming the learning curve as their biggest challenge in adopting technology, ahead of cost at 59%. Pasting a listing into ChatGPT has no learning curve.
A contract reader earns its keep only where the dates live
That is how we built ours. In KeyFlow you upload the signed PDF on the deal itself. A review panel shows every field it read, marks the ones it was less sure of with a Verify badge, and nothing reaches the file until you apply it. The contingency deadlines are computed from the contract date, so when you correct that date later, every deadline chained to it moves on save.
The review panel is also where your judgment stays in charge. If your form counts any deadline in business days, confirm that date on the file's closing path, and a date you set there stays exactly where you put it. Where the reader isn't sure, like an unusual fixture in the included or excluded items, it leaves the field for you instead of guessing. Upload the signed copy, run your eye down every field against the page, and apply. The typing is gone, the checking stays yours, and the dates land where your deal runs. Contract reading comes with every paid plan.
On your next contract, with any tool or none
A pen counts. None of this is legal advice, and your contract's language governs over any rule of thumb, ours included. The contract date calculator does the day-count arithmetic both ways, business and calendar, and one date moves and six deadlines move with it shows what happens when the two get mixed.
- Ask for dates, not a summary. Every deadline, with the paragraph it came from.
- Beside each one, write whether your form counts business or calendar days.
- Check each date against that paragraph on the signed copy. Not the draft.
- Email the other agent your list and ask them to confirm it in writing, before anyone relies on it.
Sources: NAR: The tech real estate agents rely on most in 2026 · NAR newsroom: Realtors adopt technology to save time and improve the client experience · Inman: NAR technology report finds AI use among Realtors climbing · WRE News: Nearly half of Realtors use AI weekly or daily, NAR finds
- data
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- technology