Medical Record Review Time and Fee Estimator
Quoting a record review is guesswork until you have done a hundred of them. This calculator turns the page count and record mix into hours by task (intake and organization, reading and extraction, drafting, quality check), shows the pages-per-hour assumption behind every number so you can argue with it, and produces a fee range and a quote paragraph you can paste into an engagement email. Built for legal nurse consultants and attorneys who bill or budget record review by the hour. Nothing you enter leaves your browser except a one-time anonymous usage count.
Estimate
Hours by task
| Task | Basis | Manual hrs | AI-assisted hrs |
|---|
The highlighted column is the one used for the fee and the quote. Hours are shown to one decimal; the fee range applies a ±20% band to the total.
Assumptions behind the numbers
| Record type | Manual pages / hr | AI-assisted pages / hr | Why |
|---|
Honest note on sources. We did not find a peer-reviewed study that measures medical-record review speed by record type. The manual pages-per-hour figures are MedLegal AI's working assumptions, kept inside the 50 to 100 pages-per-hour rule of thumb that circulates in legal nurse consultant training material for careful chronology work, with billing and report pages faster and dense inpatient and long-term-care records slower. The AI-assisted figures are the site's own assumptions about verification-reading speed when software produces the first draft; they are not independent measurements. Treat both as a starting point and replace them with your own tracked time as soon as you have it.
Quote paragraph
How to use the result
- Quote the range, not the midpoint. Record productions grow after the first set arrives, and duplicates, blank pages and fax cover sheets shrink the real page count. A range with a stated page assumption survives both.
- Say what is included. The hours assume one pass of reading, one draft and one quality check. Re-review after a supplemental production, a meeting with the attorney, or a second format of the same work product are extra and should be said so in the engagement letter.
- Adjust the pages-per-hour figures to your own history. If you have tracked time on prior cases, replace the assumptions with your averages. The model is linear in page count, so changing one figure moves one line in the table.
- If you use AI assistance, bill the verification honestly. The AI-assisted column still charges for reading every entry against the source. A chronology that was not verified line by line should not be sold as a verified chronology.
- Keep the assumptions with the quote. Paste the quote paragraph and the assumption list into the engagement email so the client sees how the number was built.
Want the chronology drafted for you to verify? MedLegal AI reads full record productions and returns a Bates-cited chronology, abnormal-result list and issue summary you check against the source. Start free with your real records →