People Team AI Ask about a date

How exposed to AI is a Title Examiners, Abstractors, and Searcher?

Of the 17 tasks O*NET lists for title examiners, abstractors, and searchers, 4 could be done in half the time with a chat window today. 3 cannot be sped up at all. Here is which.

Exposure means published research judged an AI could halve the time a task takes, at the same quality. It does not mean the task stops needing a person. How to read this

Also called
AbstractorCommercial Title ExaminerSearcherTitle AbstractorTitle AgentTitle ExaminerTitle OfficerTitle Searcher
Reachable today Needs software built first Cannot be sped up
17
tasks rated for this occupation
13%
hold a degree, from a survey of only 15
51k
people do this job in the US
4 of 7
least protected in legal

Every task, and what AI can do with it

These are O*NET's task statements for this occupation, exactly as written, sorted into the three bands by the ratings behind this report. Nothing has been reworded.

Reachable with a chat window today

4
  • Examine individual titles to determine if restrictions, such as delinquent taxes, will affect titles and limit property use
  • Verify accuracy and completeness of land-related documents accepted for registration, preparing rejection notices when documents are not acceptable
  • Read search requests to ascertain types of title evidence required and to obtain descriptions of properties and names of involved parties
  • 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

Only with software built on top

10
  • 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
  • Prepare reports describing any title encumbrances encountered during searching activities and outlining actions needed to clear titles
  • Copy or summarize recorded documents, such as mortgages, trust deeds, and contracts, that affect property titles
  • 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
  • Enter into record-keeping systems appropriate data needed to create new title records or to update existing ones
  • Retrieve and examine real estate closing files for accuracy and to ensure that information included is recorded and executed according to regulations
  • Prepare real estate closing statements, using knowledge and expertise in real estate procedures
  • Prepare and issue title commitments and title insurance policies, based on information compiled from title searches
  • Direct activities of workers who search records and examine titles, assigning, scheduling, and evaluating work, and providing technical guidance as necessary

Cannot be sped up

3
  • Confer with realtors, lending institution personnel, buyers, sellers, contractors, surveyors, and courthouse personnel to exchange title-related information or to resolve problems
  • Determine whether land-related documents can be registered under the relevant legislation, such as the Land Titles Act
  • Assess fees related to registration of property-related documents
What this does not say

This is not a prediction about your job

Nobody surveyed an employer. Tasks are counted equally, so a percentage here is a share of the list rather than a share of your week. And the ratings were made in 2023, which makes every figure a floor rather than a ceiling.

It must never be used to select anyone for redundancy. The full limits are here.

Where to go next

This is the standard task list for the title. The useful next question is which of the tasks you actually do should go near AI, and which should not.

Sort your own tasks Read the full report

Exposure ratings from Eloundou, Manning, Mishkin and Rock, GPTs are GPTs: Labor market impact potential of LLMs, Science 384, 1306–1308, 2024, used under the MIT licence. This page includes information from the O*NET Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA), used under the CC BY 4.0 license. O*NET® is a trademark of USDOL/ETA. People Team AI has modified all or some of this information. USDOL/ETA has not approved, endorsed, or tested these modifications. Employment figures from the US Bureau of Labor Statistics.