AI exposure by occupation, O*NET 23-2093.00

Will AI replace Title Examiners, Abstractors, and Searchers?

Title Examiners, Abstractors, and Searchers: AI can already handle 14 of 16 tasks; the work mostly needs a standard-tier model.

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Every task, scored

The 16 tasks O*NET 30.3 lists for Title Examiners, Abstractors, and Searchers, from most to least exposed. 14 reach 60 or more, the level at which AI already handles a task.

Task AI exposure Evidence Model tier Importance
Copy or summarize recorded documents, such as mortgages, trust deeds, and contracts, that affect property titles. 85 Estimated Efficient 4.5
Summarize pertinent legal or insurance details, or sections of statutes or case law from reference books for use in examinations or as proofs or ready reference. 85 Estimated Efficient 3.4
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. 80 Estimated Efficient 4.8
Verify accuracy and completeness of land-related documents accepted for registration, preparing rejection notices when documents are not acceptable. 80 Estimated Efficient 4.5
Prepare and issue title commitments and title insurance policies, based on information compiled from title searches. 80 Estimated Efficient 4.3
Examine individual titles to determine if restrictions, such as delinquent taxes, will affect titles and limit property use. 75 Estimated Efficient 4.6
Prepare reports describing any title encumbrances encountered during searching activities and outlining actions needed to clear titles. 75 Estimated Efficient 4.6
Read search requests to ascertain types of title evidence required and to obtain descriptions of properties and names of involved parties. 75 Estimated Efficient 4.2
Confer with realtors, lending institution personnel, buyers, sellers, contractors, surveyors, and courthouse personnel to exchange title-related information or to resolve problems. 75 Estimated Standard 4.2
Direct activities of workers who search records and examine titles, assigning, scheduling, and evaluating work, and providing technical guidance as necessary. 75 Estimated Frontier 4.0
Retrieve and examine real estate closing files for accuracy and to ensure that information included is recorded and executed according to regulations. 75 Estimated Efficient 4.0
Determine whether land-related documents can be registered under the relevant legislation, such as the Land Titles Act. 75 Estimated Efficient 3.6
Obtain maps or drawings delineating properties from company title plants, county surveyors, or assessors' offices. 65 Estimated Efficient 4.2
Assess fees related to registration of property-related documents. 65 Estimated Frontier 3.4
Enter into record-keeping systems appropriate data needed to create new title records or to update existing ones. 40 Observed Standard 4.0
Prepare lists of all legal instruments applying to a specific piece of land and the buildings on it. 15 Estimated No tier 4.4

Observed: scored from AI use recorded in the Anthropic Economic Index (June 2026 release), 1 of 16 tasks. Estimated: scored from the task's O*NET 30.3 work activity, 15 of 16. Importance is O*NET's 1 to 5 rating of how central the task is. Model tier is the lowest tier that can do the task under the published rubric; "No tier" marks hands-on work.

The model tier this role needs

A standard-tier model or lower covers 82% of the role's importance-weighted task work. 93% of the work is something AI can address at some tier, and 7% is hands-on.

Efficient, standard and frontier tiers come from the JobRoute model tier reference. The recommended tier is the lowest one that covers 80% of the work AI can address. How the method works.

Wages, employment and outlook

US employment
48,580
Median annual wage
$58,650
Middle half of earners
$47,420 to $74,810
Projected change, 2024 to 2034
+2.0%

Employment and wages: BLS Occupational Employment and Wage Statistics, May 2025, national. Projection: BLS Employment Projections 2024 to 2034.

Adjacent roles

The occupations that reuse the most of this role's skills, with the usual time to move. These are the first places to look when you plan to redeploy or retrain people in this role.

Skill overlap and transition time from the JobRoute role adjacency graph on O*NET 30.3 skills.

Questions about Title Examiners, Abstractors, and Searchers and AI

Will AI replace Title Examiners, Abstractors, and Searchers?

AI already handles 14 of the 16 tasks O*NET lists for this occupation, at a task exposure of 60 or more, and the role's importance-weighted exposure is 70 out of 100. JobRoute scores tasks, not whole jobs, so the score shows how much of the work changes rather than whether the job disappears. BLS projects employment to change by +2.0% from 2024 to 2034.

What is the AI exposure of Title Examiners, Abstractors, and Searchers?

70 out of 100 on JobRoute's task exposure measure, the importance-weighted average of the role's O*NET task scores. Higher means more of the work is AI-doable today. 1 of the 16 task scores are observed in the Anthropic Economic Index (June 2026 release), and the other 15 are estimated from each task's O*NET work activity.

Which Title Examiners, Abstractors, and Searchers tasks can AI already do?

The tasks with the highest exposure are: Copy or summarize recorded documents, such as mortgages, trust deeds, and contracts, that affect property titles; Summarize pertinent legal or insurance details, or sections of statutes or case law from reference books for use in examinations or as proofs or ready reference; 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. They are three of the 14 tasks that reach 60 or more.

What AI model tier does this role need?

A standard-tier model or lower covers 82% of the role's importance-weighted task work. JobRoute assigns each task the lowest tier that can do it under a published rubric and recommends the lowest tier that covers 80% of the work AI can address.

How many people work as Title Examiners, Abstractors, and Searchers, and what do they earn?

48,580 people in the United States, with a median annual wage of $58,650 (BLS Occupational Employment and Wage Statistics, May 2025). BLS Employment Projections expect a change of +2.0% from 2024 to 2034.

How to cite

Data version 2026-11-02, JobRoute method v1.0.0. Download all occupations or this occupation as JSON. Methodology.

JobRoute (2026). AI exposure: Title Examiners, Abstractors, and Searchers. Data version 2026-11-02, method v1.0.0. Built on O*NET 30.3, BLS OEWS May 2025 and the Anthropic Economic Index (June 2026). CC BY 4.0. https://www.jobroute.ai/jobs/title-examiners-abstractors-and-searchers

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