How to Estimate the Hours and Fee for a Medical Record Review (Free Tool)
You get one thing from a built-up estimate that a round number never gives you: a quote the client can argue with line by line, which means a quote the client can accept. "About 20 hours" invites a negotiation about the total. "1,400 inpatient pages at 60 pages per hour for extraction, plus drafting and a quality pass, 22 to 33 hours" invites a conversation about the assumptions, which is the conversation you want. This post shows how to break the record into types, what each type costs per page, how the work product changes the hours, how to write the quote, and what to say about AI assistance so the bill is honest.
What goes into the estimate
- Pages by record type. Hospital inpatient, outpatient and office, nursing home and long-term care, billing and itemized statements, imaging and pathology reports, deposition transcripts. Each reads at a different speed. If you only know the file size, scanned medical-record PDFs run on the order of 15 pages per megabyte; native-text PDFs run far more.
- The work product. A merit screen (read, short memo of issues), a dated and cited chronology, a narrative summary, both, or expert-report support with an issue list and literature pull. The reading is similar; the drafting and checking are not.
- The hourly rate. Trade materials such as AALNC educational resources and LNC rate guides describe independent legal nurse consultant record review as running roughly $100 to $200 per hour, with testifying experts and physician reviewers higher. That is trade material, not a peer-reviewed survey; confirm current figures for your market.
- The tasks. Intake and organization, reading and extraction, drafting, quality check. Each is a line with its own basis, so a change to one assumption moves one line.
What to get right
1. Separate the record types before you count
A 2,000-page production that is half itemized billing is a different job from 2,000 pages of ICU flow sheets. Count by type, even roughly. Duplicates, blank pages and fax covers come out of the count; a supplemental production goes back in later.
2. State the pages-per-hour assumption
No peer-reviewed study we could find measures medical-record review speed by record type. The figures in circulation are rules of thumb from legal nurse consultant training material, on the order of 50 to 100 pages per hour for careful chronology work, faster for billing and report pages, slower for dense inpatient and long-term-care charts. Treat them as a starting point and replace them with your own tracked averages as soon as you have them.
3. Let the work product set the drafting hours
One pass of reading, one draft, one quality check. A chronology adds the citation work; a narrative adds the writing; expert-report support adds the literature pull. Say which is included.
4. Quote the range, with the page assumption attached
A plus-or-minus band around the total, with the page count and record mix the band assumes, survives a production that grows or shrinks. A single figure does not.
5. If software drafts the chronology, bill the verification
AI-assisted drafting changes the extraction line, not the obligation to read every entry against the source. The AI-assisted column in any honest estimate still carries that reading time, and the engagement letter should say the chronology was verified line by line, or that it was not.
Build the estimate and the quote paragraph
Enter pages by record type (or total megabytes), the work product wanted and your hourly rate. The estimator returns hours by task for manual and AI-assisted review with the pages-per-hour assumptions shown, a fee range and a copy-ready quote paragraph. Free, runs in your browser.
Open the Review Time and Fee Estimator →A worked example (hypothetical)
The facts below are invented for illustration. No real consultant, firm or case is described, and the figures are illustrative arithmetic using the estimator's default assumptions, which you should replace with your own.
A plaintiff firm sends a legal nurse consultant a production described as "about 1,800 pages, mostly hospital." On inspection it is 1,100 inpatient pages, 400 outpatient pages, 250 pages of itemized billing and a 50-page pathology and imaging set. The firm wants a cited chronology and a narrative summary. The consultant bills $150 per hour.
Entered into the estimator, the inpatient pages carry the slowest extraction rate and account for most of the reading hours; the billing pages read fastest. Drafting hours are added for both the chronology and the narrative, and a quality pass is added on top. The manual column comes to a total in the low thirties of hours, and the fee range applies a 20 percent band on either side of that total at $150 per hour. The AI-assisted column, using the site's own assumptions about verification-reading speed, comes out lower on the extraction line and identical on the quality pass. The quote paragraph states the page count by type, the work product, the hours by task, the range, and that re-review after a supplemental production is extra.
The consultant sends the paragraph and the assumption table together. The firm's response is about one assumption, the inpatient pages-per-hour figure, which is exactly the argument the estimate was built to have.
What to put in the engagement email
- The page count by record type the estimate assumes, and the date of the production it was based on.
- The work product, in one sentence, and what one pass includes.
- Hours by task, the rate, and the range.
- What is extra: supplemental productions, meetings, a second format, testimony.
- Whether the chronology will be drafted with software and verified line by line, and that the verification is what is billed.
What the tool does not do
The estimator is linear in page count and uses stated assumptions, not measured data. The manual pages-per-hour figures are MedLegal AI's working assumptions inside the rule-of-thumb range; the AI-assisted figures are the site's own assumptions about verification reading speed and are not independent measurements. Both are shown so you can judge them, and both should be replaced with your tracked time. Nothing you enter leaves your browser except a one-time anonymous usage count.
Next step: have the chronology drafted, then verify it
Upload the record and get a Bates-cited chronology, abnormal-result list and issue summary to check line by line against the source.
Upload the chart →Frequently asked questions
How long does it take to review medical records?
It depends on the record mix and the work product. Dense inpatient and long-term-care records take longer per page than billing statements or imaging reports, and a cited chronology takes longer than a merit screen. A rule of thumb that circulates in legal nurse consultant training material is 50 to 100 pages per hour for careful chronology work. Track your own time and replace the rule of thumb as soon as you can.
What should a record review quote include?
The page count assumed, the record types, the work product, the hours by task, the hourly rate, a fee range rather than a single figure, and a statement of what is not included: re-review after a supplemental production, meetings, and a second format of the same work product.
Why quote a range instead of a number?
Because productions grow after the first set arrives, and duplicates, blank pages and fax covers shrink the real page count. A range with a stated page assumption survives both; a single number does not.
If I use AI to draft the chronology, what do I bill?
The verification. 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, and the engagement letter should say which it is.
Related: how long a medical chronology takes and the cost math of AI versus LNC chronologies.