Title examiners, abstractors, and searchers
SOC Code: 23-2093
Title examiners, abstractors, and searchers carries a 65% AI exposure score (Very High automation risk), with a median annual wage of $54,980 and +2.0% projected employment growth from 2024 to 2034 (BLS), affecting approximately 57,400 workers. Full task breakdown, skills, and employer data are below.
Proportion of tasks susceptible to AI automation (O*NET analysis)
AI Exposure vs Industry Growth
Total occupations tracked
832
Covering all SOC major groups
Data currency
2024
BLS Employment Projections
AI exposure avg
40%
Fleet-wide median across all roles
Composite score weighing O*NET task data completeness, BLS projection methodology, and cross-validation with employer risk grades.
Employment Projections
Occupation Insight
Title examiners, abstractors, and searchers (SOC 23-2093) carries an AI exposure score of 65%, placing it in the Very High automation-risk tier. This score is computed from O*NET Database 30.0 task-level analysis, where each task an occupation performs is evaluated against current generative AI, robotic process automation, and machine-learning capabilities. A score in the 40–70% range indicates meaningful automation pressure on specific task categories, but the role as a whole still requires human judgment for coordination, exception handling, or client interaction.
The economic context matters alongside the risk score. BLS counted approximately 57,400 workers in this occupation in 2024, and projects a +2.0% change through 2034 — modest growth that keeps the occupation viable even as tasks evolve. Median annual compensation stands at $54,980, reflecting both skill scarcity and the value employers place on the tasks that remain difficult to automate. Entry typically requires High school diploma or equivalent, plus None of related experience.
For career planners, this profile should be read alongside the task, skill, and knowledge breakdowns below and the list of employers whose workforce composition includes Title examiners, abstractors, and searchers. Adjacent occupations shown further down offer lateral moves that preserve industry knowledge while potentially reducing exposure. Pair the AI exposure score with the BLS employment projection and wage percentiles above for a complete career assessment.
Education & Entry Requirements
Top Tasks (O*NET)
- 1. 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.
- 2. Examine individual titles to determine if restrictions, such as delinquent taxes, will affect titles and limit property use.
- 3. Prepare reports describing any title encumbrances encountered during searching activities and outlining actions needed to clear titles.
- 4. Copy or summarize recorded documents, such as mortgages, trust deeds, and contracts, that affect property titles.
- 5. Verify accuracy and completeness of land-related documents accepted for registration, preparing rejection notices when documents are not acceptable.
- 6. Prepare lists of all legal instruments applying to a specific piece of land and the buildings on it.
- 7. Prepare and issue title commitments and title insurance policies, based on information compiled from title searches.
- 8. Read search requests to ascertain types of title evidence required and to obtain descriptions of properties and names of involved parties.
- 9. Obtain maps or drawings delineating properties from company title plants, county surveyors, or assessors' offices.
- 10. Confer with realtors, lending institution personnel, buyers, sellers, contractors, surveyors, and courthouse personnel to exchange title-related information or to resolve problems.
Key Skills Required
- Reading Comprehension
- Active Listening
- Speaking
- Critical Thinking
- Writing
- Complex Problem Solving
- Time Management
- Active Learning
- Monitoring
- Coordination
Knowledge Areas
- English Language
- Law and Government
- Administrative
- Customer and Personal Service
- Computers and Electronics
- Mathematics
- Production and Processing
- Geography
- Education and Training
- Administration and Management
Frequently Asked Questions
Will AI replace Title examiners, abstractors, and searchers?
Title examiners, abstractors, and searchers has an AI exposure score of 65%, indicating a very high level of automation risk. Some tasks in this role can be augmented or partially automated by AI, but core responsibilities require human judgment.
What is the job outlook for Title examiners, abstractors, and searchers?
According to BLS Employment Projections 2024-2034, Title examiners, abstractors, and searchers is projected to grow by 2.0% over the decade. Current employment stands at approximately 57,400 workers.
What skills are needed for Title examiners, abstractors, and searchers?
Key skills for Title examiners, abstractors, and searchers include Reading Comprehension, Active Listening, Speaking, and others. Typical entry-level education is High school diploma or equivalent.
How much do Title examiners, abstractors, and searchers earn?
The median annual wage for Title examiners, abstractors, and searchers is $54,980, according to BLS Occupational Employment and Wage Statistics (May 2024). Actual earnings vary by location, experience, industry, and employer. The BLS publishes detailed wage percentiles by region in its Occupational Employment and Wage Statistics program.
What education is required for Title examiners, abstractors, and searchers?
The typical entry-level education for Title examiners, abstractors, and searchers is High school diploma or equivalent. Employers generally expect None of related work experience. On-the-job training typically involves Moderate-term on-the-job training. Requirements can vary by employer and specialization.
Which companies employ Title examiners, abstractors, and searchers?
Title examiners, abstractors, and searchers roles exist across many industries and employers. Workforce composition is estimated from BLS industry-occupation employment distributions matched to SEC-registered public companies.
AI Exposure Rating
Very High automation risk based on 10 analyzed tasks. A majority of tasks in this occupation are susceptible to AI automation.
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Data sources: Bureau of Labor Statistics Employment Projections 2024–2034 and O*NET Database 30.0. Employment figures are rounded. Wage data from BLS Occupational Employment Statistics (OES).