Title Examiners, Abstractors, and Searchers
In short: today's best AI models could do about 92% of this job's working time (projected from METR's April 2026 measurement and Epoch's November 2026 index) if the work were set up for them, and about 93% by the end of 2028 if progress keeps its long-run pace. The conversations, in-person and hands-on work, about 7% of the time, stays with people.
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.
48,580 people do this job in the US. $58,650 a year.
Reviewed on October 19, 2026: what each task is made of, and what handing it over would ask.
A typical 40-hour week
- AI could take on1 h
- A person checks AI's work36 h
- Desk work AI can't do yet0 h
- Stays with people3 h
Title Examiners, Abstractors, and Searchers, now: of a 40-hour week, AI could take on 1 hours, 36 hours become checking its work, 0 hours are desk work it can't do yet, and 3 hours stay with people.
The largest pieces: Issue title commitments and policies (about 6 h, a person checks); Report title encumbrances (about 6 h, a person checks); Examine title documents (about 6 h, a person checks).
Estimates for a typical week of this job, if progress keeps its long-run pace, counting work the best models finish four times in five. Every task is below.
of the working time. Now is projected from METR's April 2026 measurement and Epoch's November 2026 index.
- 81%
- 12%
- 6%
- 1%
- 0%
of the work: Anthropic's measure of what people already bring to Claude at work (2025). It counts help with part of a task, so it can be higher than the share within reach.
On the chosen pace and reliability. Estimate.
Share of the working time within reach, now to 2030
Change assumptionsHide assumptionsLong-run pace, four in five
What each choice means: , , , , . Every pace starts from .
At this date and pace, models finish tasks up to 2.4 work days long four times in five.
What handing it over would take, now
The 92% within reach splits by what a model would need. The dates, pace and reliability follow the controls above. Estimates.
of the working time. The material can be handed to a model and the result handed back.
of the working time. The model has to be connected to the system the work lives in.
is conversation short enough by length. This site leaves conversation with people, so it is not in the total.
How far this has come
With GPT-4, measured in March 2023, 0% of this job's working time was within reach at . With Claude 3.7 Sonnet, measured in February 2025, 1%. With Claude Mythos Preview (early), measured in April 2026, 53%. Today's estimate: 92%.
A backcast: today's task data with the best model METR had measured by each date. It shows how fast the models have moved, not what anyone forecast at the time.
Measured use over time
Of the Claude.ai conversations Anthropic sampled and tied to a work task, 0.011% went to this job's tasks in May 2026, the 411th largest of the 447 jobs that showed up at all; 1 of its 17 tasks showed up. Within each of Anthropic's methods, never across a change: 0.014% to 0.058% (released February and March 2025); 0.015% to 0.032% (August 2025 to February 2026); none to 0.011% (April to May 2026).
Each release
| Conversations | Share | Rank | Tasks seen |
|---|---|---|---|
| Released February 2025 | 0.014% | 495 of 708 | 2 of 17 |
| Released March 2025 | 0.058% | 245 of 703 | 4 of 17 |
| The week of Aug 4, 2025 (released September 2025) | 0.015% | 406 of 655 | 3 of 17 |
| The week of Nov 13, 2025 (released January 2026) | 0.032% | 309 of 672 | 5 of 17 |
| The week of Feb 5, 2026 (released March 2026) | 0.032% | 316 of 677 | 4 of 17 |
| April 2026 (released June 2026) | none | n/a | 0 of 17 |
| May 2026 (released June 2026) | 0.011% | 411 of 447 | 1 of 17 |
Measured, not estimated: Anthropic's samples of Claude.ai conversations, each tied by a model to an O*NET task, from the Anthropic Economic Index. It says where Claude's use goes, not how much of this job's working time it covers, so it is not on the same scale as the reach above. The releases differ in their sample, their classifier and the smallest share they report (the June 2026 file rounds each task to a hundredth of a percent, so a smaller task reads as none), which is why a change of method starts a new line. At least 96% of each older release's task-tied use matched this site's tasks, and all of the newest. Claude.ai only, so use through other tools and other companies' models is not in it. Every job ranked.
Robots and the physical work
Anthropic rates almost none of this job's working time as physical work, so robots do not reach it.
Anthropic's rating, not this site's estimate: Claude Opus 5, searching the web, rated each physical O*NET task by the kind of setting in which a robot it could cite (deployed, sold or demonstrated) does most of the task, weighted by its own estimate of each task's share of the time (What work can robots do?, September 30, 2026, data CC BY 4.0; every job ranked). A robot shown somewhere is not a robot in your building: cost, setup and safety decide that. The share within reach on this page still counts no body work. The robot behind each rated task is under the task below.
What changes for the people in this job
From the task-by-task review, by the end of 2028 on the long-run pace at four in five. It says which parts of the work stay with people and which change, not whether anyone keeps a job: that depends on decisions no data set can see.
What stays with people
7% of the working time: the conversation, in-person and hands-on parts of the tasks.
- Confer with parties on title matters, the conversation, 3%
- Direct title search staff, the conversation, 2%
- Read search requests, the in-person work, 0.8%
- Obtain property maps, the conversation, 0.7%
What becomes checking the machine
91% of the working time: desk work a model could do by then, in tasks where a mistake costs something or a licensed person signs. A person checks it. Another 2% is desk work that is small if wrong, which can be handed over with lighter checks.
- Issue title commitments and policies, a licensed person signs, 16%
- Examine title documents, costly if wrong, 14%
- Report title encumbrances, costly if wrong, 14%
- Examine titles for restrictions, costly if wrong, 9%
- List instruments on a property, costly if wrong, 8%
- Summarize recorded documents, costly if wrong, 6%
What to learn
- Reviewing work you did not do yourself. The tasks under What becomes checking the machine, where a mistake costs something, stay a person's to check or sign: spotting what a draft gets wrong is a skill of its own.
- Briefing a model and checking its drafts. About 81% of the time is documents and data, the part models reach first: writing a clear brief, giving the right material, and checking what comes back.
- Dealing with people outside the organization. Customers, patients, suppliers or the public: trust with them is built by a person.
- Signing off under your license. Some tasks need a licensed, certified or sworn person to do or sign them. The license, and the judgment it stands for, stays with the person.
- Handling protected records. Much of the work touches protected personal records: knowing what may be shared with a model, and how, is part of the job.
Your own version of this job: read it against your job description. The headline is free; the full personal report, every task with its timeline and what to learn, is $19 (a sample).
The tasks
Sorted by . 17 tasks from .
| Task | ||||
|---|---|---|---|---|
| Prepare and issue title commitments and title insurance policies, based on information compiled from title searches.Preparing the commitment and the policy from the search, and issuing them.Done hourly or more by most who do it. | 16% | 2.5 h50 min to 5 h | Documents 70%, systems 30% | 99%Half by now |
| 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.Reading the instruments to verify the description, the owner and the restrictions.Done hourly or more by most who do it. | 14% | 1.7 h25 min to 4.2 h | Documents 100% | 97%Half by now |
| Prepare reports describing any title encumbrances encountered during searching activities and outlining actions needed to clear titles.Writing up what the search found and what clears it.Done hourly or more by most who do it. | 14% | 2.1 h38 min to 4.2 h | Documents 100% | 99%Half by now |
| Examine individual titles to determine if restrictions, such as delinquent taxes, will affect titles and limit property use.Reading the title chain for liens, taxes and restrictions.Done hourly or more by most who do it. | 9% | 1.3 h25 min to 3.3 h | Documents 100% | 99%Half by now |
| Prepare lists of all legal instruments applying to a specific piece of land and the buildings on it.Compiling the list from the records.Done hourly or more by most who do it. | 8% | 1.3 h25 min to 3.3 h | Documents 100% | 99%Half by now |
| Copy or summarize recorded documents, such as mortgages, trust deeds, and contracts, that affect property titles.Reading and abstracting the recorded instruments.Done hourly or more by most who do it. | 6% | 50 min13 min to 2.1 h | Documents 100% | 100%Half by now |
| Retrieve and examine real estate closing files for accuracy and to ensure that information included is recorded and executed according to regulations.Reading each closing file against the rules.Done daily by most who do it. | 6% | 1.3 h25 min to 3.3 h | Documents 80%, systems 20% | 99%Half by now |
| Direct activities of workers who search records and examine titles, assigning, scheduling, and evaluating work, and providing technical guidance as necessary.Conversation with the searchers, and reviewing their work.Done hourly or more by most who do it. | 4% | 50 min25 min to 2.5 h | Conversation 60%, documents 40% | 40%Desk part half by now |
| 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.Reading the law and writing the summary.Done daily by most who do it. | 4% | 1.1 h25 min to 3.3 h | Documents 100% | 100%Half by now |
| Prepare real estate closing statements, using knowledge and expertise in real estate procedures.Working out the figures and preparing the statement for the closing.Done daily by most who do it. AI observed on this task. | 3% | 1.3 h25 min to 2.5 h | Documents 60%, systems 40% | 100%Half by now |
| Verify accuracy and completeness of land-related documents accepted for registration, preparing rejection notices when documents are not acceptable.Checking each document and writing the rejection notice when it fails.Done daily by most who do it. | 3% | 38 min13 min to 1.7 h | Documents 100% | 100%Half by now |
| Confer with realtors, lending institution personnel, buyers, sellers, contractors, surveyors, and courthouse personnel to exchange title-related information or to resolve problems.Calls with realtors, lenders, buyers and the courthouse.Done daily by most who do it. | 3% | 38 min13 min to 1.3 h | Conversation 100% | Stays with people |
Within reach, per task: the share of the task's time whose instances are short enough for a model to finish at the chosen date, pace and reliability. Half by: the date half of that time comes within reach. Made of: how the task's time splits among five kinds of doing. Only the documents and systems parts can count as within reach, so a task that is 30% documents can be at most 30% within reach.
Jobs that share skills with this one
From O*NET's related occupations. Within reach now and by the end of 2028, long-run pace, four in five.
- File Clerks50% now, 53% by 2028
- Paralegals and Legal Assistants74% now, 84% by 2028
- Appraisers and Assessors of Real Estate79% now, 84% by 2028
- Court, Municipal, and License Clerks75% now, 86% by 2028
- Insurance Claims and Policy Processing Clerks86% now, 86% by 2028
- Appraisers of Personal and Business Property70% now, 75% by 2028
Where this job works
The industry groups that employ the most of it (BLS, May 2025).
Where the most of these jobs are
The metro areas with the most people in it (BLS, May 2025).
Questions about this job
- How much of the work of Title Examiners, Abstractors, and Searchers is within reach of AI now?
- An estimated 92% of the working time is within reach of AI models now and 93% by the end of 2028, on METR's long-run pace at four in five. Within reach means a model could finish work that long at that reliability. It is not a forecast of jobs lost or of savings.
- Which tasks of Title Examiners, Abstractors, and Searchers come within reach first?
- Weighted by the time each takes, the tasks with the most within reach now (projected from METR's April 2026 measurement and Epoch's November 2026 index) are: Issue title commitments and policies (99% of the task's time now); Report title encumbrances (99% of the task's time now); and Examine title documents (97% of the task's time now).
- Which tasks of Title Examiners, Abstractors, and Searchers stay with people?
- Tasks that are people work or body work are not counted as within reach at any date. The largest: Confer with parties on title matters. Together such tasks are about 3% of the working time, and the people and body parts of the other tasks stay with people too.
- What should Title Examiners, Abstractors, and Searchers learn as AI takes on more of the work?
- By the job's own task-by-task review, the first things to learn are reviewing work you did not do yourself; briefing a model and checking its drafts; and dealing with people outside the organization. By the end of 2028 on the long-run pace at four in five, about 7% of the working time stays with people, 91% becomes checking a model's work and 2% could be handed over with lighter checks. It says which parts of the work change, never whether anyone keeps a job.
- Do people already use AI for the work of Title Examiners, Abstractors, and Searchers?
- In the Claude.ai conversations Anthropic sampled for May 2026 and tied to a work task, 0.011% went to this job's tasks, the 411th largest share of the 447 jobs that showed up; 1 of its 17 tasks appeared. Anthropic's labor market measure puts the share of the job's tasks seen in real Claude use at work at 2%. These are measures of use, not of how much of the work AI could finish, and they cover Claude only.
- Can robots do the physical work of Title Examiners, Abstractors, and Searchers?
- Anthropic's robot exposure rating (September 2026) finds almost none of the working time is physical work, so robots do not reach it.
- How is this estimated?
- From the 17 tasks O*NET lists for the occupation, each with an estimated length checked against GDPval and a share of the working time, reviewed one task at a time on October 19, 2026 for what each is made of (documents, business systems, conversation, in person, hands-on), and METR's measurements of how long a task the best AI models can finish, carried forward to the date from the latest, Claude Mythos Preview (early) in April 2026. Data checked November 10, 2026.
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