Automation of Handwritten Case Data Extraction

Kevin Marsh

Project Manager
Automation Engineer
Confluence
Jira
I led a team in implementing a robotic process automation (RPA) solution to automate the extraction of handwritten case data for a legal group. This complex project involved leveraging optical character recognition (OCR) technology and machine learning to streamline the case management process and improve efficiency. The primary objective of this project was to reduce the time and effort required to extract handwritten data from legal documents, allowing legal professionals to focus on higher-value tasks.
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