ClaimLens™ : AI Workflow for Bodily Injury Claim Data Processing

ClaimLens™ is an Agentic AI workflow designed for advanced data processing of bodily injury claims. This platform ingests unstructured claim documents, facilitating an end-to-end workflow which includes three core components: comprehensive search for specific data points within claim files; summarization of claim-related data over timelines and by severity categories; and data-driven recommendations for next actions.

Legal and business professionals, including defense law firms and insurance carriers, utilize ClaimLens™ to generate detailed reports, demand packet summaries, and medical record and claim summaries based on the processed data.

DocLens.ai's ClaimLens™ employs best-in-class artificial intelligence techniques to accurately identify and extract data points related to risk in complex liability claims across the United States. Leveraging industry-leading techniques and deep domain knowledge, ClaimLens™ pinpoints and extracts critical data signals within complex claims. These signals are regularly updated and expanded to include venue, involved attorneys, and hundreds of claim characteristics (injuries, liability, and potential social inflation indicators) that may impact outcomes. Data interpretations for each signal, document, and claim are further supported by insights from third-party data.

DocLens.ai's Patent Pending dynamic next-action recommender generates suggested actions that are tailored to the specific data signals identified and to the team-selected resolution path. These recommendations aim to support proactive claim management, reinforce training, and supplement experience. ClaimLens™ is a collaborative AI solution that guides and assists complex claim teams with rapid, consistent data identification and processing, providing time for the team to control the direction and ultimate fair resolution of the claim.

While many options exist for generating searches, summaries, and reports, ClaimLens™ is purpose-built and differentiates itself on four key aspects: a) High accuracy (99.8% extraction accuracy and 90%+ comprehension accuracy); b) Superior contextual data reasoning driven by a Domain AI layer incorporating claim handling, litigation, and medical knowledge; c) Results validated against curated third-party data to ensure current and relevant risk signals and data ratings; and d) Precise data identification and next-action suggestions through a proprietary question set and associated Patent Pending Algorithms.

DocLens.ai is committed to partnering with the P&C insurance industry to deliver AI-driven software solutions that process real business data, enhancing efficiency, accuracy, and supporting improved loss ratios and reserving processes.