DigitalOwl

DigitalOwl is an AI platform that reviews medical records for insurance and legal professionals, converting unstructured documents into structured data for faster case decisions. It serves life insurance underwriters and claims teams, P&C insurance claims handlers, and legal professionals working on personal injury, mass tort and medical malpractice cases.

A user uploads medical records such as APSs, EMRs, lab results, prescription data and handwritten notes, and DigitalOwl's AI generates a concise summary that suppresses duplicate and irrelevant information while surfacing key details. Every finding links back to the original source document through a click-to-source link, so a reviewer can verify a result in one click rather than trusting an unexplained score.

DigitalOwl's View product gives a 360-degree chronological view of an individual's medical history, Triage automatically flags pre-defined data points across a bulk of cases, and Chat answers detailed questions about a record in a single pass. Workflows build automated decision trees with data-driven recommendations, Case Notes compiles actionable insights for a specific line of business, and a Data API structures records for integration into existing systems.

DigitalOwl reports precision rates of 97% or higher, reduces time spent on medical review by up to 72%, and can process thousands of pages of records in about an hour, while reducing page count by 90% through deduplication. A Self-Serve tier for legal teams covers reviews under 30,000 pages a month, with integrated record retrieval still coming soon; pricing for the enterprise platform is available by contacting the company.

Use cases

• Speeding up underwriting medical record reviews
• Redefining post-issue audits to improve resource allocation
• Reviewing demand packages for settlement negotiations
• Sorting and processing medical records for mass tort cases