COOKED
The core of this job — pulling deeds, mortgages, liens, judgments and tax records, assembling a chain of title, and writing the abstract or title commitment — is structured document retrieval and summarization, exactly what automated title platforms and document-parsing AI already do at scale in digitized counties. What resists is the messy residue: unindexed or handwritten records in rural courthouses, gaps and breaks in the chain, conflicting legal descriptions, heirship and probate tangles, and the judgment call on which exceptions to raise before an underwriter insures. Most states license title agents or insurance producers rather than examiners, so the liability shield sits with the underwriter, not the searcher.
Part 2020 shock, part continued decline in the years since.
Median pay $48,180 → $58,650 -2.6% in real terms
This line is counted by the Bureau of Labor Statistics — the one figure on this page that isn't a judgement of ours. Headcount moves on demand, offshoring, demographics and the business cycle, and automation is one term among several, often not the loudest.
So a falling line is not evidence that AI did it, and a rising one is not evidence that it won't. Both happen in this register: some occupations resist automation and shrink anyway, others are highly automatable and keep growing. The marked year is 2020.
BLS projection, 2024–2034
+2%
Percentage only. The projection counts a different population from the 48,580 above — it includes self-employed workers, which for this occupation is most of them, so the two headcounts are not comparable.
Exposed, but growing
AI can already do a lot of these tasks, and the BLS still expects +2% more of these jobs by 2034. Demand for the output is growing faster than the work is being automated away — the mechanism BLS gives for software developers, and the combination people most often misread as an error.
Different clocks. The score is what current AI could do to this work today. The projection is how many of these jobs will exist in 2034. Everything between the two — how fast employers actually adopt, whether demand grows in the meantime — is why they can point opposite ways without either being wrong.
~5,400 openings a year on average, including replacing people who leave.
SearcherAbstractorTitle AgentTitle ClerkTitle CloserLand ExaminerLien SearcherTitle CheckerTitle OfficerAbstract ClerkEscrow OfficerLease ExaminerTitle ExaminerTitle SearcherAbstract WriterData AbstractorRecord SearcherTitle InspectorTitle ProcessorTitle AbstractorTitle SpecialistAbstract SearcherTitle CoordinatorClosing Specialist
Holding it up: judgment & accountability . Weakest point: trust premium .
Core tasks are already automatable Chain-of-title assembly from indexed grantor/grantee records, lien and judgment searches, tax-status pulls, and populating a Schedule B exceptions list are all keyed off standardized instrument types and legal descriptions, and platforms like those running automated title decisioning already clear a large share of residential refinance orders without a human touching the file — the 5 reflects that only the pre-1980s unindexed books, handwritten marginal notations, and metes-and-bounds reconciliation still need you.
Some physical or field component The 5 covers the courthouse trips that persist in non-digitized counties — pulling plat books, microfilm reels, and grantee indexes at the recorder's counter, occasionally walking a parcel or ordering a survey — but the file is built at a desk on a screen, and in fully e-recorded jurisdictions many examiners never leave it.
Certification preferred, not legally required A 6 rather than a 2 because several states require abstracter licensure or a title insurance producer license and some examiners hold notary or agency appointments, but the title commitment is issued on the underwriter's paper and the E&O/insurance policy absorbs a missed lien — nobody comes after the searcher's personal license the way they would a surveyor or attorney who signed an opinion.
Meaningful discretion An 8 sits above procedural because you decide whether a 40-year-old unreleased mortgage is stale enough to omit, whether an heirship gap needs a quiet-title action or a affidavit, and which encroachments and easements become Schedule B exceptions — but every one of those calls goes up to an underwriter who can override you, and state search standards and underwriting manuals prescribe most of the rest.
The verdict above describes this occupation as a whole. Almost nobody does the typical version of a job — tick what's actually in your week and see how your own mix sits.
Your task mix speaks to task resistance (5/20 here) — how much of the day's work current AI already does. That is the dimension the boxes above are about.
It cannot move the other three. Liability shield (6/20) is whether the law requires a licensed human to sign. Trust premium (4/20) is whether buyers specifically pay for a person. Judgment and accountability (8/20) is whether the role exists to own consequential calls. Those are facts about the occupation's standing, not about which tasks are in your week — a paralegal who does only trial exhibits still holds no licence. Together they are 18 of this occupation's 28 points (64%).
Embodiment (5/20) is also a property of the work rather than the worker, but we don't tag individual tasks as physical or not, so the picker can't tell you anything about it. That's a limit of this tool, not a claim.
Did we get the list right? Tell us what's missing — the tasks are written from the outside, and you're reading this from the inside.
No occupation passed every test: close enough to title examiners, abstractors, and searchers on skills and subject matter, at least 10 points more resistant, no big jump in training, no new licence, no pay cut, and not shrinking on its own. That happens for 223 of the 654 occupations here that aren't SAFE, and it is worth stating plainly rather than leaving the section off.
The usual reason is that exposure travels with the skill profile. The jobs most similar to yours tend to be exposed for the same reasons yours is, so the near neighbours don't clear the gap — and the ones that do are a different kind of work, not a transfer of what you already know. Read that as a limit of this method, not a verdict that you're stuck: it only compares whole occupations, and it cannot see specialisation, industry, or anything you'd bring that isn't in a federal skill survey.
Here is that claim on your own job rather than in the abstract. These are the three occupations closest to this one by skill and subject matter — the places the work would most naturally transfer — with what the register scores them:
That is the whole problem in three lines. The nearest work is not meaningfully safer, so there is no move here that trades a similar skill set for a better verdict. This is not us running out of ideas — it is what the neighbourhood looks like.
The moves above are yours to make. This is the other half: what would have to change in the world for the occupation itself to score higher. None of it is in any one person's gift, but it is where the floor actually comes from. Scores here are not a one-way ratchet. Only two of the five dimensions — task resistance and embodiment — track what machines can do. The other three track law, what buyers will pay for, and who is answerable, and those move in both directions, often in response to the same pressure AI creates. If every lever below landed, this occupation would score around 42/100 — EXPOSED.
Automation absorbs the digitized, clean-chain searches (already happening via Fannie/Freddie's acceptance of title waivers and attorney opinion letters, plus instant-title platforms), leaving the residual caseload concentrated in curative work: heirship and probate tangles, unindexed pre-1970 handwritten grantor/grantee books, conflicting metes-and-bounds descriptions, tax-sale and mineral-severance chains, and mobile-home/manufactured-housing title conversion. This is a genuine two-tier job and the surviving tier is the curative tier.
State insurance departments or title-association model rules requiring a named licensed examiner/agent of record to attest that an AI-produced search was reviewed, with E&O exposure attaching personally — analogous to appraiser rules on AVM-assisted valuations. Also plausible: states expanding examiner licensure (currently only a minority license the search function itself) in response to a wave of automated-search title claims.
Underwriter guidelines making the examiner the documented decision-owner for which exceptions to raise and which defects can be insured over, with named sign-off in the commitment file rather than an anonymous search product — a plausible insurer response to automated searches missing liens and generating claims.
State bar UPL enforcement or court rulings holding that interpreting a defective chain, drafting curative affidavits, or opining on marketability is the practice of law, pushing curative examination under attorney supervision (the ongoing fight over attorney opinion letters vs. title policies is the live venue).
Persistent non-digitized deed and plat books, courthouse-only microfilm, and physical tract indexes in a long tail of rural counties keep on-site retrieval necessary; this only rises if digitization funding stalls, and it caps out low because it is a shrinking share of counties.
The limit. Even with all plausible levers, this occupation stays low-scoring: the residual curative tier employs far fewer people than the routine search tier, so score gains for the role coexist with heavy headcount loss. There is no realistic route to a trust premium — buyers of title work purchase the underwriter's policy, not a named human searcher, and no consumer ever asks who ran the search.
| Dallas-Fort Worth-Arlington, TX | 2,140 | $61,530 +5% |
| New York-Newark-Jersey City, NY-NJ | 1,830 | $61,500 +5% |
| Houston-Pasadena-The Woodlands, TX | 1,730 | $63,470 +8% |
| Tampa-St. Petersburg-Clearwater, FL | 1,220 | $56,880 -3% |
| Detroit-Warren-Dearborn, MI | 1,160 | $51,030 -13% |
| Phoenix-Mesa-Chandler, AZ | 940 | $49,330 -16% |
| Miami-Fort Lauderdale-West Palm Beach, FL | 880 | $59,340 +1% |
| Philadelphia-Camden-Wilmington, PA-NJ-DE-MD | 860 | $56,490 -4% |
| Midland, TX | 140 | $112,420 +92% |
| San Jose-Sunnyvale-Santa Clara, CA | 130 | $94,710 +61% |
| Vallejo, CA | 40 | $85,950 +47% |
We have no reported case of a named organisation automating this occupation. Not one deployment, not one announcement.
That is worth saying out loud next to a score of 28. The verdict above is about what the work exposes — what current AI could do to these tasks. It is not a claim that anyone has done it. For this occupation those two things have come apart completely: the capability argument is on this page, and the evidence column is empty.
Has AI actually changed your work? One tap, anonymous, and the running tally is public. Nothing else is asked of you.
Rather than check back: get the digest and we'll tell you what changed — or watch a single occupation from its own page.