"AI outputs are only as reliable as the quality, structure and context of the data environment in which they operate. Public jurisdictional and court records provide an essential public index of recorded transactions but function as a system of notice and do not validate the accuracy, completeness or legal validity of recorded documents needed for insurable decisioning."
"Title plants transform disparate public records into reconciled, property-centric, decision-ready data sets, providing a more complete property-level analysis compared with public records alone. Title agents, real estate attorneys and title underwriters remain essential to interpreting data, resolving inconsistencies and addressing off-record risks that impact insurability and ownership rights."
"We're at the forefront of deploying AI to help the industry move faster, but speed without accuracy does not meet the standard for insurable title. The real question is whether the underlying data is complete, connected and validated well enough to support confident, defensible decisions."
DataTrace's white paper reveals that while AI can enhance speed and efficiency in title workflows, it cannot ensure accuracy without a robust data infrastructure. Insurable title requires more than just access to data; it necessitates normalized data, title plant infrastructure, and human expertise. AI's effectiveness is contingent on the quality and validation of the underlying data. Key findings emphasize the importance of title agents and attorneys in interpreting data and addressing risks that affect ownership rights.
Read at www.housingwire.com
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