AI Medical Record Review — Analyze Patient Records Faster

Medical record review is the analysis step in any case involving patient records — physician notes, diagnostic results, imaging reports, treatment history, IME findings. The job is to read the records, identify what's clinically relevant, flag inconsistencies, and surface the moments that affect case strategy. For attorneys, that means reading thousands of pages before you can build a medical chronology, evaluate damages, or prepare for deposition.

Manual review hasn't changed much in decades: open the file, read every page, take notes. For a 500-page record set, that's a full day of paralegal time. Multiply that across 20 active cases and your team is buried in paperwork — and still has to build the chronology afterward.

AI medical record review changes the equation. Dodonai ingests the full record set, identifies key clinical events, flags inconsistencies and treatment gaps, and produces structured output with page citations back to the source. Your team reviews the AI's findings instead of reading every page line by line. For law firms handling personal injury, medical malpractice, mass tort, workers' comp, or disability benefits cases, the result is faster case evaluation, more consistent analysis across the firm, and lower cost per case.

Review is the input. The chronology is the output. Once Dodonai has read and analyzed the records, it automatically organizes the extracted events into a complete medical chronology — a structured, date-ordered timeline your team can use in depositions, mediation, demand letters, and trial. The analysis and the chronology come from a single upload; you don't run two tools.

If you want to see the chronology output specifically — formats, examples, and how attorneys use it — generate a full medical chronology is the dedicated page for that. If you're comparing chronology software vendors, see our comparison of medical chronology software options.