Data Extraction from Court Documents

Automated data extraction from documents and reporting with AACER

As a market leader for bankruptcy technology, only AACER offers data extraction and reporting. Our data extraction technology replaces the need for humans to extract information from court documents for the full spectrum of activities that use that information. Among many other activities, this data can be used to populate systems of record, reconcile accounts, produce court filings and mailings, and make investment, servicing, and legal decisions. Our technology extracts pertinent information from documents you specify and provides it in an easily consumable, ready-to-use structure.  

Flexibility

Whether you have a special one-time project or would like to automate a workflow that needs data from court documents on an ongoing basis, our data extraction services have you covered. We provide industry-leading optical character recognition (OCR) to recognize, capture, and extract field-level information from documents filed on court dockets and claims registers to deliver the highest level of quality control. Our ability to scale ensures you get the key data you need whether it is 1,000 or 1,000,000 data points.

Insight

Our data extraction services have many uses throughout financial and legal services. Loan servicers and investors use our data extraction services to scrub loan portfolios to facilitate servicing activities to ensure data integrity and transaction due diligence. Our solution is flexible and is used to manage various processes to reconcile loan servicing systems. This includes the ability to compare loan and other documents to system data and then report exceptions. Extraction of data from court documents is critical to making investment decisions or developing legal positions.  

Confidence

Our clients have confidence in the data we extract and provide, but also the method in which we provide it. We offer several formats to meet your business requirements, such as APIs and web service integration options for automated system-to-system exchange. We replace a manual process with automation that improves the overall speed of document review and the accuracy of data recognition, while reducing costs.  

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