Will AI replace Title Examiners, Abstractors, and Searchers?
In theory, AI could do about 57% of the work in Title Examiners, Abstractors, and Searchers. In practice, as of late 2025, almost no one is actually using it that way — yet.
O*NET-SOC 23-2093
How your 11 core tasks split
Top = what GPT-4 judged AI could speed up. Bottom = how much AI was actually used for these tasks (Anthropic's March 2026 report, usage from Aug & Nov 2025). The gap is the real story.
Back in 2023, GPT-4 judged AI could, in theory, assist with a moderate share of this job's tasks (~57%). By late 2025, real-world AI use had reached about 2% of its task activity (still rare). The gap between that 2023 forecast and today is the real story.
Where this job sits among 738 jobs
Each dot is one of 738 U.S. jobs. Right = AI can do more of it. Up = AI is actually used more.
Don't trust a single AI-risk score here
For this job, the signals disagree sharply. AI's theoretical reach looks moderate (~57%), but real-world use is only ~2%, and how much AI "can" do shifts wildly by model — one 2026 study found the share of "high-risk" jobs swung 2.7% to 51.5% just by changing which AI did the rating. This page shows the spread instead of pretending there's one number.
See all 11 tasks, ratedBased on real task-level AI scores — click to collapse
- Copy or summarize recorded documents, such as mortgages, trust deeds, and contracts, that affect property titles.
- Read search requests to ascertain types of title evidence required and to obtain descriptions of properties and names of involved parties.
- Enter into record-keeping systems appropriate data needed to create new title records or to update existing ones.
- Examine documentation such as mortgages, liens, judgments, easements, plat books, maps, contracts, and agreements to verify factors such as properties' legal descriptions, ownership, or restrictions.
- Examine individual titles to determine if restrictions, such as delinquent taxes, will affect titles and limit property use.
- Prepare reports describing any title encumbrances encountered during searching activities and outlining actions needed to clear titles.
- Verify accuracy and completeness of land-related documents accepted for registration, preparing rejection notices when documents are not acceptable.
- Prepare lists of all legal instruments applying to a specific piece of land and the buildings on it.
- Obtain maps or drawings delineating properties from company title plants, county surveyors, or assessors' offices.
- Retrieve and examine real estate closing files for accuracy and to ensure that information included is recorded and executed according to regulations.
- Confer with realtors, lending institution personnel, buyers, sellers, contractors, surveyors, and courthouse personnel to exchange title-related information or to resolve problems.
How we measured this — and how fresh it is
AI's theoretical reach data: 2023
From GPTs-are-GPTs (Eloundou et al.), where GPT-4 rated how much of each task an AI tool could meaningfully speed up. This is the most recent open, commercially-usable occupation-level potential dataset — it dates to 2023. Newer multi-model re-runs exist but swing wildly (one 2026 study saw "high-risk" jobs range 2.7%–51.5% by model) and aren't openly licensed, so we show the stable 2023 baseline and pair it with newer real-world data.
Real-world AI use 2026 report
From the Anthropic Economic Index, which observes how real Claude conversations map onto each occupation's tasks. Published in Anthropic's March 2026 labor-market report, based on usage measured in Aug & Nov 2025 (Sonnet 4 / 4.5).
Task list & ratings O*NET 30.3
Tasks come from O*NET 30.3. Each task's "AI can do / speeds up / still on you" tier uses the real task-level exposure scores from GPTs-are-GPTs (E1 / E2 / E0) — not a guess from keywords.
Sources: O*NET 30.3 (CC BY 4.0) · GPTs-are-GPTs (MIT, 2023) · Anthropic Economic Index (CC BY, Aug & Nov 2025). Page compiled June 2026. "O*NET" is a trademark of the U.S. Department of Labor.
This page is for general informational purposes only and is not career, financial, or employment advice. AI exposure reflects research estimates of task overlap, not predictions about any individual's job, employer, or future employment.