Document Processing
First American Data & Analytics needed a better way to support LLM-assisted extraction of structured fields from title and property documents because billions of unstructured property documents and historical title policies still required slow, expensive manual extraction across more than 100 fields.
Reported impact
First American Data & Analytics improved LLM-assisted extraction of structured fields from title and property documents with measurable results including 70% first american data & analytics embraces the power of genai, 75% reduction in cost, and 10x less time to complete the project, while giving teams a faster path from governed data to production decisions.
First American Data & Analytics uses Databricks Data + AI Platform to support LLM-assisted extraction of structured fields from title and property documents. The implementation replaced a legacy state where billions of unstructured property documents and historical title policies still required slow, expensive manual extraction across more than 100 fields. Public record document images and historical title policy images move through production data pipelines and land in Delta Lake, giving teams one trusted data foundation. Unity Catalog governs access, lineage, and compliance across sensitive datasets. MLflow, Model Serving, and Agent Bricks operationalize models, agents, and analytics that deliver page-level document classifications and extracted title data elements.
Public record document images and historical title policy images land on a shared platform, pipeline services clean and standardize them, governance controls enforce trusted access, and AI, model-serving, and analytics services deliver page-level document classifications and extracted title data elements.
Databricks helped us build the entire end-to-end production pipeline, starting by streaming data from ADLS to the final writing to the destination.
First American DNA wanted to leverage LLMs to enhance the accuracy and efficiency of the data extraction efforts that are central to their parent company’s broader title and transaction closing processes. This division m
First American Data & Analytics (DNA), a leading property-centric information provider to the real estate and title insurance industries, was challenged to convert a vast amount of unstructured data into digital content
It’s one of the features I really like and it’s very easy to integrate with our DevOps processes.
Review how this reference was scored and trace each normalized claim back to its documented source.
Scoring methodology
Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.
Traceability
Field coverage shows which facts each source supports. Dates are shown only when documented by the source.
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