Public record-linked AI misses key title issues in many searches

DataTrace Information Services has released a new analysis examining whether artificial intelligence (AI) relying solely on public records can produce the accuracy and completeness required for insurable title decisions.

The report, titled “AI Title Search Tested in the Real World: What Accuracy, Risk, and Readiness Really Look Like,” concludes that AI performs best when paired with structured title plant data and human expertise rather than fragmented county public records alone.

“The speed of AI creates value, but only when paired with the confidence, completeness and accuracy needed for insurable title decisioning,” said Annette Cotton, chief data officer at DataTrace. “The future isn’t AI versus title professionals. It’s AI powered by trusted title data and guided by experienced title experts. That’s how the industry scales automation without sacrificing confidence or insurability.”

The company analyzed 200 residential title files and found that public-record-only AI searches missed at least one meaningful title matter in 40.8% of searchable files when compared with searches supported by DataTrace’s title plant data.

According to the analysis, the largest gaps involved high-risk issues, such as involuntary liens, where the issue fail rate exceeded 36%. The report also found that AI was unable to search 16 of the 200 files because they lacked title plant data or comparable normalized datasets needed to complete the search.

DataTrace also examined the potential financial impact of missed title issues.

Using an illustrative extrapolation based on annual existing-home sales, the analysis estimated approximately $489 billion in maximum potential liability and $148 billion in probable liability associated with missed title matters.

The report distinguishes between retrieving public records and producing an insurable title decision, noting that the latter requires validating ownership history, connecting related documents, identifying missing information and applying underwriting judgment.

DataTrace said it currently provides normalized title plant datasets across more than 1,850 U.S. jurisdictions and maintains a library of approximately 9 billion recorded document images to support title production and automation.

This article was generated using HousingWire Automation and reviewed by a HousingWire editor before publication.