Automated Title Data Extraction and Filtering System
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Solution Overview
Problem
The title insurance underwriting process is labor-intensive, leading to delays and errors due to the need for extensive database searches and application of voluminous business rules, which increases transaction time and cost in the real estate industry.
Innovation Solution
A system and method for extracting data from digital documents, indexing it, and providing a user interface for filtering data based on user-defined rules, allowing for efficient retrieval and generation of title products by automating the extraction of title exceptions and legal phrases from historical records and contracts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual database searching and business rule application is used, then thorough title examination can be performed, but significant delays and errors occur due to labor intensity
Solution Approach 1:
The patent replaces the manual mechanical process of database searching and business rule application with an automated computer-based system. The system automatically extracts data from digital documents, indexes it, applies business rules through software, and generates title products without human intervention in the examination process, thereby eliminating delays while maintaining thoroughness through systematic automated processing.
Solution Approach 2:
The system enables self-service by allowing users to input search criteria and automatically retrieve title examination results without requiring manual researcher intervention. The automated system performs data extraction, indexing, business rule application, and report generation autonomously, making the process efficient and eliminating human error while maintaining comprehensive examination standards.
2Manufacturing precision
If extensive database searches are conducted to ensure thorough title examination, then accurate title products can be generated, but the process becomes labor-intensive and delays closing
Solution Approach 1:
The patent replaces manual database searching with automated computer-based data extraction and indexing systems that can process extensive databases rapidly without human labor. The system automatically queries multiple databases, extracts relevant title information, indexes it systematically, and applies business rules, thereby maintaining high-quality title products while dramatically increasing underwriting throughput and eliminating the labor-intensive bottleneck.
Solution Approach 2:
The system performs preliminary data extraction and indexing from digital documents before the actual title examination process begins. By pre-processing and organizing title data into indexed formats, the system enables rapid retrieval and analysis during underwriting, maintaining comprehensive examination quality while significantly accelerating the overall process and increasing productivity.
3Loss of information
If multiple databases are searched for complete title evidence, then comprehensive risk evaluation is achieved, but transaction cost increases due to extended processing time
Solution Approach 1:
The patent replaces manual database searching with automated systems that can efficiently query and cross-reference multiple databases simultaneously. The automated system extracts complete title evidence from county databases, public records, court databases, and proprietary title databases without the extended processing time associated with manual searching, thereby maintaining comprehensive risk evaluation while reducing transaction costs by eliminating labor-intensive processes.
Solution Approach 2:
The system merges multiple database searches into a unified automated processing workflow. By integrating data extraction from county databases, public records, court databases, and proprietary title databases into a single coordinated system, the patent achieves comprehensive title evidence collection without the cumulative time and cost of separate manual searches, thereby reducing transaction costs while maintaining completeness.
Data Source
AI summary
Systems and methods are described for extracting data from digital documents, indexing the data, and providing a user interface for filtering the data and generating a document based on the filtered data. In one implementation, a method includes extracting data from one or more digital documents, the extracted data including elements of a first type, the elements of the first type including key-value pairs; indexing the extracted data; hosting a web-based application instance, the web-based application instance including a user interface for searching the indexed data and filtering elements of the first type based on rules defined by a user of the user interface; receiving rules for filtering the elements of the first type; and filtering the elements of the first type based on the received rules.


