Will AI replace Title Examiners, Abstractors, and Searchers?
Legal · O*NET 23-2093.00
Task exposure index for this occupation
Averaged across the week, this work sits at the high end of the exposure scale. O*NET breaks Title Examiners, Abstractors, and Searchers into 16 distinct work activities. Weighted by how much of the week each one takes, 85% of the job sits at or above the threshold where current systems can do the task end to end. The single largest contributor is "Prepare legal documents", which scores 95 and takes roughly 32% of the week. That is the average for the job title. It is not a measurement of any particular person’s week, and the difference between the two is usually larger than the difference between job titles.
Model v1.2 · activity indices last updated 18 August 2026
What this occupation does
Search real estate records, examine titles, or summarize pertinent legal or insurance documents or details for a variety of purposes. May compile lists of mortgages, contracts, and other instruments pertaining to titles by searching public and private records for law firms, real estate agencies, or title insurance companies.
The most exposed parts of the job
Scored 0–100 on how completely a current system could perform the activity.
- Prepare legal documents.95
About 32% of a typical week
- Compile data or documentation.92
About 4% of a typical week
- Search files, databases or reference materials to obtain needed information.90
About 2% of a typical week
- Update computer database information.90
About 3% of a typical week
- Read documents to gather technical information.82
About 8% of a typical week
The least exposed parts
The same scale. These are the activities current systems handle worst.
- Coordinate legal schedules or activities.32
About 5% of a typical week
- Confer with court staff to clarify information.40
About 3% of a typical week
- Meet with individuals involved in legal processes to provide information and clarify issues.40
About 3% of a typical week
- Estimate costs of products, services, or materials.48
About 4% of a typical week
- Research relevant legal materials to aid decision making.72
About 8% of a typical week
How far off the rest is
Of those 16 activities, 12 can be performed by systems available today and 1 are outside what current approaches do at all. The remaining 3 sit in between — demonstrated in research or in narrow products, but not something you can hand over whole. We do not put dates on that middle group, because nobody can.
Compared with similar occupations
The nearest scoring roles in Legal.
- Title Examiners, Abstractors, and Searchers (this page)79
- Paralegals and Legal Assistants73
- Judicial Law Clerks68
- Administrative Law Judges, Adjudicators, and Hearing Officers60
Why your own number is different
Two people with the title "Title Examiners, Abstractors, and Searchers" can spend their weeks on almost entirely different parts of this list, and the parts they choose move the number far more than the title does. Who signs off when the work is wrong, whether the job needs you physically present, and how fast you have picked up the tools all change it again — and none of that is in an occupation average.
The assessment asks you to divide your own week across these activities and answer fourteen questions about the parts of the job an occupation average cannot see. It takes six to nine minutes.
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Questions
Will AI replace Title Examiners, Abstractors, and Searchers?
We do not answer that, because nobody can. What is measurable is how much of the work is already doable by machine: for Title Examiners, Abstractors, and Searchers, about 85% of a typical week, across 16 activities. The other 15% is not, and what happens to the job depends on things this index does not contain — cost, regulation, who carries the liability, and what the people doing it decide to do next.
What part of this job is most exposed?
"Prepare legal documents" — it scores 95 out of 100 on task automatability and takes roughly 32% of the week.
What part is least exposed?
"Coordinate legal schedules or activities", at 32 out of 100. Work like that is where the hours you protect tend to be worth the most.
Where do these numbers come from?
The activity list and the time weights come from O*NET 30.3, the US Department of Labor's occupational database. The exposure score for each activity is ours, from a published model — the weights, the priors and the limitations are all on the methodology page. No language model is involved in the arithmetic.
Does this apply to my job?
Only roughly. This is the average for the title, and the number that matters is the one for the week you actually work. The assessment asks you to divide your own time across these activities and answer fourteen questions about accountability, the parts of the job that need you specifically, and how fast you have adapted. That produces a different number, and usually a more useful one.
The full model — the weights, the priors and what it cannot see — is on the methodology page.