The Schaff Law Group handles fast-paced personal injury work where thousands of pages of unstructured medical records must be turned into usable chronologies before deadlines. With DecoverAI's embedded custom medical-record engine, they reclaimed over 100 hours of case-prep time and transformed four core workflows.
The Schaff Law Group is a personal injury firm operating in one of the most document-intensive areas of law. Every matter arrives with a backlog of medical records—often thousands of pages, spanning multiple providers, in inconsistent formats—that the firm must synthesize before they can build a chronology, assess damages, or draft a demand.
DecoverAI partnered with Schaff to build a custom medical-record understanding engine embedded directly into the firm's workflow. The system was not off-the-shelf: it was trained and configured around how the firm reads records, what they need from them, and the downstream documents those records feed.
The result was a firm that could review more matters, prepare them faster, and produce higher-quality outputs—without adding headcount. Over 100 hours of attorney and paralegal time have been reclaimed, and the team now operates with a level of efficiency and thoroughness that would not be possible with a traditional review approach.
Personal injury firms face a document problem that never gets easier: records arrive in bulk, in inconsistent formats, and there's never enough time to read all of them before the next deadline. Schaff needed to solve:
DecoverAI reads thousands of pages across every provider and generates structured, date-ordered chronologies in a fraction of the time. What used to take days now takes hours.
The custom engine classifies record types, surfaces relevant diagnoses, treatment plans, and prognoses, and flags anything that conflicts with or supports the client's account.
Record summaries feed directly into demand drafts, ensuring every treatment, procedure, and prognosis is accurately reflected and nothing from the medical record is overlooked.
Specific facts are pulled from thousands of pages in seconds. The team answers interrogatories faster and with higher confidence that every factual claim is grounded in the record.
Personal injury work is not generic. The way medical records need to be read, the structure of a damage chronology, the specific facts interrogatories look for—these are not problems you solve with an off-the-shelf platform and a login.
The DecoverAI team embedded with Schaff to understand exactly how the firm reads records, what they need from them, and how that information flows into downstream documents. They then built a custom ingestion and classification engine that reflects how Schaff works—not how a generic system assumes they work.
That specificity is what allows the team to trust the output. When a chronology comes out of DecoverAI, the paralegals at Schaff aren't checking it against the raw records to see if the system got it right. They're using it—because they helped build the system that produces it.
DecoverAI has been a great asset in helping our firm become more efficient, productive, and thorough. I've used DecoverAI to review thousands of pages of records and provide data-rich answers. I'd recommend DecoverAI to any firm looking to save time and grow efficiency.
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See how DecoverAI transforms case preparation for personal injury firms.
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