DigitalOwl

DigitalOwl is an artificial intelligence platform that converts complex medical records into structured, searchable, and summarized data. For lawyers, particularly those handling personal injury, medical malpractice, or insurance defense matters, it transforms thousands of pages of unstructured medical documentation into coherent narratives that highlight key facts such as diagnoses, treatments, and provider timelines. This dramatically reduces the time spent reviewing records and allows legal teams to focus on strategy and case assessment instead of administrative review.

The software automatically generates detailed medical chronologies and summaries, flagging critical information such as causation events, prior injuries, and inconsistencies. Each extracted data point links back to its original page source, giving attorneys confidence in the accuracy of the summaries and allowing instant verification when preparing for depositions or settlement negotiations. By creating a standardized, consistent format across medical records, DigitalOwl helps firms improve efficiency and reduce the risk of human oversight during discovery.

Built for privacy and compliance, DigitalOwl operates within secure data environments and follows strict confidentiality protocols to protect sensitive health information. Its machine learning engine continuously refines its models to improve accuracy and context recognition, making it increasingly valuable as firms scale their caseloads. For law firms managing high document volumes, it effectively becomes a digital medical analyst, one that works around the clock to deliver insights from data that would otherwise take days to review manually.