Extract Key Information from Unstructured Claims Documents

Claims files contain vast amounts of unstructured text in documents like police reports, medical narratives, adjuster notes, and emails. Manually reading and extracting critical information is laborious. LLMs can automatically process these documents, identify and extract key entities (names, dates, locations, injury types, damage descriptions), and structure the data for easier analysis and processing. For example, an LLM can read a medical report and extract diagnoses, treatment codes, and prognosis details relevant to an injury claim.