The Task Exposure Indexv2026.Q3
Occupation · SOC 23-2093.00 · Job Zone 2

AI exposure: Title Examiners, Abstractors, and Searchers

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.

Reading this score

computed

49.5% of this occupation's weighted task load is exposed, which puts Title Examiners, Abstractors, and Searchers at the 88th percentile of 923 occupations. The capability is largely there. Its average task scores 3.2 out of 4 on what a current system can produce, and the frictions that hold other jobs in place are comparatively weak here.

What holds the line here is verification cost. Across this occupation's 17 tasks it averages 2.01 out of 3, the highest of the five friction dimensions. In plain terms, checking the output costs more than producing it. Where an undetected error is expensive, dangerous or irreversible, the economics change. Someone has to verify the work, and verifying can cost as much as doing it. This is the friction most likely to fall as tools for checking improve.

The most exposed thing this job does is Read search requests to ascertain types of title evidence required and to obtain descriptions..., at 86.7%. The least is Summarize pertinent legal or insurance details, or sections of statutes or case law from..., at 20.0%. A gap of 66.7% between two parts of the same job is the reason this index publishes at task level. An occupation-wide number would have hidden both.

Within legal occupations, this one is more exposed than most. The median across the 7 roles in the group is 20.1%, and only 0 of them score higher than this. Occupational families are not uniform, and the spread inside them is often wider than the gap between them.

What would move this score. Of 17 tasks, 10 are currently banded exposed, 7 assisted and 0 untouched. For that distribution to shift materially would take a change in who is permitted to sign the work, which is a question for regulators rather than for engineers. The score is re-computed every quarter against a fresh capability reference, and the change is published rather than quietly applied.

Task by task

17 tasks, O*NET 31.0
TaskExposedAssistedUntouchedImportanceBand
Read search requests to ascertain types of title evidence required and to obtain descriptions of properties and names of involved parties.86.7%13.3%0.0%4.53exposed
Enter into record-keeping systems appropriate data needed to create new title records or to update existing ones.86.7%13.3%0.0%4.47exposed
Obtain maps or drawings delineating properties from company title plants, county surveyors, or assessors' offices.76.7%23.3%0.0%4.50exposed
Retrieve and examine real estate closing files for accuracy and to ensure that information included is recorded and executed according to regulations.73.3%18.3%8.3%4.53exposed
Assess fees related to registration of property-related documents.73.3%26.7%0.0%4.22exposed
Direct activities of workers who search records and examine titles, assigning, scheduling, and evaluating work, and providing technical guidance as necessary.50.0%25.0%25.0%4.46exposed
Examine individual titles to determine if restrictions, such as delinquent taxes, will affect titles and limit property use.45.0%30.0%25.0%4.70exposed
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.40.0%35.0%25.0%4.73exposed
Verify accuracy and completeness of land-related documents accepted for registration, preparing rejection notices when documents are not acceptable.40.0%35.0%25.0%4.54exposed
Determine whether land-related documents can be registered under the relevant legislation, such as the Land Titles Act.37.5%37.5%25.0%4.41assisted
Prepare and issue title commitments and title insurance policies, based on information compiled from title searches.35.0%40.0%25.0%4.76assisted
Prepare reports describing any title encumbrances encountered during searching activities and outlining actions needed to clear titles.35.0%40.0%25.0%4.67assisted
Prepare lists of all legal instruments applying to a specific piece of land and the buildings on it.35.0%40.0%25.0%4.60assisted
Copy or summarize recorded documents, such as mortgages, trust deeds, and contracts, that affect property titles.35.0%40.0%25.0%4.59assisted
Prepare real estate closing statements, using knowledge and expertise in real estate procedures.34.1%32.6%33.3%4.44exposed
Confer with realtors, lending institution personnel, buyers, sellers, contractors, surveyors, and courthouse personnel to exchange title-related information or to resolve problems.29.2%33.3%37.5%4.51assisted
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.20.0%30.0%50.0%4.23assisted

Task text and importance ratings sourced from O*NET 31.0. Shares computed. The occupation score is the importance-weighted mean.

Where the score comes from

judged

Every task is scored through the standardised work activities it maps to. These are this occupation’s averages on the six rubric dimensions. Capability is what AI can do; the other five are what stands in the way.

DimensionMeanScale
Capability3.170-4
Embodiment0.110-3
Presence0.300-3
Accountability1.840-3
Context1.810-3
Verification cost2.010-3

What this means in practice

Where most of a role's weighted task load is exposed, the work that survives is usually the part of the job nobody wrote into the job description: deciding what should be produced rather than producing it, and being answerable for the result. The tasks lowest on this page are a better guide to where to spend your time than any general advice about the future of work.

Occupations either side of this one

The four closest scores in the same occupational family, then the four closest anywhere in the index.

Read this carefully. Exposure is not displacement. A high score means current AI systems can produce this work, not that anyone will stop paying a person to do it. Adoption depends on economics, regulation and inertia that this index deliberately does not model. How the score is built.