# 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.

- **SOC code:** 23-2093.00
- **Canonical URL:** https://singulariki.com/roles/role-23-2093-00
- **Also known as:** Abstractor, Title Examiner, Title Officer, Title Searcher, Commercial Title Examiner, Searcher, Title Abstractor, Title Agent
- **Frame:** "AI exposure" means task overlap (how codifiable the work is), not jobs lost or a forecast. Every figure below is traced to a named public dataset.

## What this work is

**Core tasks** (O*NET):
- 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.
- Examine individual titles to determine if restrictions, such as delinquent taxes, will affect titles and limit property use.
- 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.
- Verify accuracy and completeness of land-related documents accepted for registration, preparing rejection notices when documents are not acceptable.
- Prepare lists of all legal instruments applying to a specific piece of land and the buildings on it.
- Prepare and issue title commitments and title insurance policies, based on information compiled from title searches.
- Read search requests to ascertain types of title evidence required and to obtain descriptions of properties and names of involved parties.
- Obtain maps or drawings delineating properties from company title plants, county surveyors, or assessors' offices.
- Confer with realtors, lending institution personnel, buyers, sellers, contractors, surveyors, and courthouse personnel to exchange title-related information or to resolve problems.
- Enter into record-keeping systems appropriate data needed to create new title records or to update existing ones.
- Direct activities of workers who search records and examine titles, assigning, scheduling, and evaluating work, and providing technical guidance as necessary.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- Reading Comprehension _(essential_skill)_
- Oral Comprehension _(ability)_
- Written Comprehension _(ability)_
- Oral Expression _(ability)_
- Active Listening _(essential_skill)_
- Written Expression _(ability)_
- Speaking _(essential_skill)_
- Critical Thinking _(essential_skill)_
- English Language _(knowledge)_
- Law and Government _(knowledge)_
- Deductive Reasoning _(ability)_
- Near Vision _(ability)_

**Skills in demand:**
- Reading Comprehension _(Common Skill)_
- Active Listening _(Common Skill)_
- Critical Thinking _(Common Skill)_
- English Language _(Common Skill)_
- Speech Recognition _(Specialized Skill)_
- Microsoft Outlook _(Common Skill)_
- Microsoft Excel _(Common Skill)_
- Deductive Reasoning _(Common Skill)_
- Writing _(Common Skill)_
- Inductive Reasoning _(Common Skill)_
- Time Management _(Common Skill)_
- Complex Problem Solving _(Common Skill)_

**Tools & technology:**
- Microsoft Excel _(hot technology, in demand)_
- Microsoft Office software _(hot technology, in demand)_
- Microsoft Outlook _(hot technology, in demand)_
- Adobe Acrobat _(hot technology)_
- Google Workspace software _(hot technology)_
- Microsoft Access _(hot technology)_
- Microsoft PowerPoint _(hot technology)_
- Microsoft Windows _(hot technology)_
- Microsoft Word _(hot technology)_
- Salesforce software _(hot technology)_
- Contact management software
- Data Trace Title IQ

## AI exposure & outlook

- **AI task-overlap index:** 61st percentile (Moderate) across all occupations — composite of current-era exposure studies (ai-exposure-index-v1).
- **Overall AI exposure (Felten et al.):** 85th percentile (High) — source: felten_aioe.
- **LLM task exposure, γ (OpenAI / Eloundou):** 83rd percentile (High) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 17th percentile (Low) — source: microsoft_applicability.
- **Frey–Osborne (2013, historical computerization estimate):** 99th percentile — kept separate from current-era studies.
- **Remote-capable (Dingel–Neiman):** yes — task structure, not who actually works remote.
- **Projected employment (BLS 2024–34):** 2.0% growth (About average); 5.4k annual openings; 57.4k → 58.5k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $54,980; 48,170 employed.

## How people actually use AI here

Anthropic Economic Index — measured AI conversations mapped to this occupation's tasks:

- **Automation vs augmentation:** 40% automation, 48% augmentation (usage-weighted).
- **Autonomy median:** 3.0 (higher = AI acts more independently).
- **Dominant collaboration mode:** task iteration.

**Tasks most handed to AI here:**
- Prepare real estate closing statements, using knowledge and expertise in real estate procedures. _(1.6% of measured AI use; task iteration)_
- Summarize pertinent legal or insurance details, or sections of statutes or case law from reference books so that they can be used in examinations, or as proofs or ready reference. _(1.0% of measured AI use; directive)_

**Example prompts (honest phrasings of the tasks above — starting points, not endorsed instructions):**
- Help me prepare real estate closing statements, using knowledge and expertise in real estate procedures.
- Help me summarize pertinent legal or insurance details, or sections of statutes or case law from reference books so that they can be used in examinations, or as proofs or ready reference.

## Sources

- **O*NET** (30.3) — U.S. Department of Labor / National Center for O*NET Development. https://www.onetcenter.org/database.html
- **BLS Occupational Employment and Wage Statistics (OEWS)** (May 2024) — U.S. Bureau of Labor Statistics. https://www.bls.gov/oes/
- **BLS Employment Projections** (2024–2034) — U.S. Bureau of Labor Statistics. https://www.bls.gov/emp/
- **Anthropic Economic Index** (v4 (2026-01-15) + v2 (2025-03-27)) — Anthropic. https://www.anthropic.com/economic-index
- **Microsoft “Working with AI”** (working-with-ai) — Microsoft Research. https://www.microsoft.com/en-us/research/
- **“GPTs are GPTs” (Eloundou et al.)** (arXiv 2303.10130) — OpenAI / academic. https://arxiv.org/abs/2303.10130
- **AI Occupational Exposure (AIOE)** (Felten, Raj & Seamans) — academic. https://github.com/AIOE-Data/AIOE
- **Frey & Osborne (2013)** (frey-osborne-automation) — academic. https://www.oxfordmartin.ox.ac.uk/publications/the-future-of-employment/
- **Dingel & Neiman (2020)** (dingel-neiman-workathome) — academic. https://github.com/jdingel/DingelNeiman-workathome

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_Generated from Singulariki's joined dataset; data snapshot 2026-06-02T21:00:32.945303+00:00. https://singulariki.com/roles/role-23-2093-00_