
If you’ve ever ordered two title work reports in the same state—sometimes even the same week—and received them at dramatically different speeds, you’re not imagining things. Title turn times can vary widely, and the reasons go far beyond staffing levels or seasonal volume. For lenders, servicers, investors, and legal teams, understanding why this happens is critical to managing risk, setting borrower expectations, and choosing the right title partner.
This article explains the real drivers behind title turn-time variability, why technology alone hasn’t solved the issue, and why AFX Research remains the #1 place to go when accuracy, speed, and public-record certainty truly matter.
It’s a common assumption: if two properties are located in the same state, title work should move at roughly the same pace. After all, state laws govern recording statutes, lien priority, and property rights.
In reality, this assumption breaks down quickly.
Title research is not governed at the state level—it is governed at the county level. Each county operates as its own ecosystem, with independent systems, processes, staffing models, and technology maturity. Two counties separated by only a few miles can produce radically different title work turn times.
The United States has more than 3,600 counties, and there is no national standard for how property records are recorded, indexed, stored, or accessed. Counties decide:
Some counties offer modern, searchable online systems with document images and same-day indexing. Others still rely on paper files, microfilm, mailed requests, or limited public terminals inside the courthouse.
This fragmentation is the single biggest reason title turn times vary so dramatically—even within the same state.
Recording a document does not automatically make it searchable.
After a deed, lien, or mortgage is recorded, it must be indexed before it becomes visible in most systems. Indexing speed varies significantly by county:
During high-volume periods—such as refinance booms, foreclosure waves, or tax seasons—indexing backlogs grow quickly. This creates a dangerous window where documents exist legally but are not yet discoverable through standard searches.
For lenders, that window represents real risk.
Many lenders assume data aggregators smooth out county inconsistencies. In practice, they often amplify them.
Aggregators do not connect live to county systems. Instead, they ingest public records in batches based on each county’s release schedule. That data is then normalized, mapped, and processed—introducing additional lag.
Key realities of aggregated data include:
As a result, aggregator reports may feel fast, but they are often several days—or even weeks—behind the actual public record.

Even counties with online portals are not necessarily current to the day.
Common issues include:
A county website may look modern and searchable, but still lag behind what is actually recorded. This is why two “digitized” counties can produce very different title turn times and risk profiles.
County recorder offices are public agencies, not technology companies. They operate under tight budgets, staffing constraints, and legacy systems. When volume increases without matching resources, turn times suffer.
Factors that slow counties down include:
These operational realities directly impact how quickly accurate title information can be obtained—even when technology is involved.
Artificial intelligence excels at processing data—but only after the data is available in an accessible format. AI cannot:
AI systems are downstream from the problem. Without direct access to live county records, they rely on the same delayed inputs as aggregators. This is why AI-only title solutions still struggle with accuracy and timing in many jurisdictions.
Variable turn times are more than an inconvenience—they increase exposure.
When lenders rely on outdated or assumed data:
These issues often surface after closing, triggering repurchase demands, investor disputes, litigation, or regulatory scrutiny. One missed lien can outweigh the cost savings of years of inexpensive data pulls.
AFX Research was built for the real-world complexity of U.S. public records—not an idealized, fully digitized system.
Instead of relying on batch-fed data or assumed access, AFX uses a nationwide network of certified abstractors who know how to access live county records, including:
AFX then layers AI on top of this human-sourced data to improve speed, consistency, and risk detection—without sacrificing accuracy.
This hybrid human-AI model allows AFX to deliver:

AFX is most commonly used in scenarios where accuracy cannot be compromised:
In these moments, speed alone is meaningless without certainty.
Title turn times vary—even within the same state—because the U.S. property recording system is fragmented at its core. Counties operate independently, digitization is inconsistent, indexing speeds differ, and aggregated data introduces unavoidable lag.
Technology helps, but it does not eliminate these structural realities.
AFX Research succeeds because it works within them. By combining human access to live public records with AI-driven efficiency, AFX delivers the clarity lenders need when timing, accuracy, and risk exposure truly matter.
When certainty—not assumption—is the goal, AFX remains the #1 place to go.
{
"your_order_number": "1663232-1212",
"afx_property_id": "79-275248-47",
"file_name": "1663232-1212-TS.pdf",
"public_url_to_file": "https://ourfileurl.com/files/download/431365FR2aPVJhUTIs6K4emWn7LPN5RGDvrT1WtQAHRKE3g",
"report_data":
{
"productID": "116",
"productName": "Current Owner Search w/ Taxes",
"propertyID": "79-275248-47",
"yourReferenceNumber": "ABCD1234",
"yourOrderNumber": "1663232-1212",
"yourMortgageeSiteName": "ABC MONEYSOURCE MORTGAGE COMPANY",
"dateComplete": "08/19/2024",
"dateEffective": "08/16/2024",
"propAddress": "123 SE TEST ROAD",
"propCity": "ESTACADA",
"propState": "OR",
"propZip": "97020",
"propCounty": "CLACKAMAS",
"propAPN": "111025371-012",
"propAltAPN": "R-3-4E-21-C-A-01500",
"propLegal": "SUBDIVISION VISTA TEST 4366 TRACT C",
"propOwner": "CORY TIPTON",
"landValue": "100000.00",
"buildingValue": "250000.00",
"propValue": "350000.00",
"overallTaxNotes": "",
"taxesExists": 1,
"taxes": [
{
"year": "2023",
"period": "",
"status": "PAID",
"date": "",
"amount": "3141.26"
},
{
"year": "2024",
"period": "",
"status": "DUE",
"date": "",
"amount": "3721.10"
}
],
"deedsExists": 1,
"deeds": [
{
"type": "WARRANTY DEED",
"dated": "03/13/2024",
"recorded": "03/13/2024",
"instrument": "2024-008696",
"book": "",
"page": "",
"torrens": "",
"grantorName": [
"NORTHWEST CORE HOLDINGS, LLC"
],
"granteeName": [
"CORY TIPTON"
],
"notes": ""
},
{
"type": "DEED",
"dated": "01/31/2024",
"recorded": "02/02/2024",
"instrument": "2024-003832",
"book": "",
"page": "",
"torrens": "",
"grantorName": [
"VISTA TEST HOMEOWNER'S ASSOCIATION"
],
"granteeName": [
"JOHN DOE"
],
"notes": ""
}
],
"mortgagesExists": 1,
"mortgages": [
{
"type": "DEED OF TRUST",
"dated": "04/20/2024",
"recorded": "04/30/2024",
"instrument": "2024-015037",
"book": "",
"page": "",
"amount": "312000.00",
"mortgagorName": "JOHN DOE",
"mortgageeName": "ABC MONEYSOURCE MORTGAGE COMPANY",
"trusteeName": "FIDELITY NATIONAL TITLE COMPANY OF OREGON",
"mersName": "EVERGREEN MONEYSOURCE MORTGAGE COMPANY",
"mersMIN": "1000235-0023016999-7",
"mersStatus": "ACTIVE",
"relatedDocsExists": 1,
"relatedDocs": [
{
"type": "ASSIGNMENT",
"desc": "UMB BANK NATIONAL",
"recorded": "02/28/2024",
"instrument": "",
"book": "1130",
"page": "415"
}
],
"notes": ""
},
{
"type": "HELOC",
"dated": "06/25/2024",
"recorded": "06/30/2024",
"instrument": "2024-016054",
"book": "",
"page": "",
"amount": "30000.00",
"mortgagorName": "JOHN DOE",
"mortgageeName": "TRUST CREDIT UNION",
"trusteeName": "",
"mersName": "",
"mersMIN": "",
"mersStatus": "",
"relatedDocsExists": 0,
"notes": ""
}
],
"liensExists": 0,
"overallLienNotes": "",
"miscsExists": 0,
"reportNotes": "",
"dateSubmitted": "08/19/2024 10:14:31 AM",
"currentDeedRecordDate": "03/13/2024"
}
}