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AI prompts for medical malpractice plaintiff lawyers

Standard-of-care language, deviation evidence, expert foundation, and the causation chain through the chart. Every prompt on this page carries that emphasis. Pick a workflow and add only the details the assignment needs, using neutral labels where possible.

Lens version
1
Status
Published
Review scope
Internal workflow framing; no independent legal review recorded

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Open the builder with this lensReview practice workflows

Start with a workflow

Build a chronologyMedical records
Build the chart chronology with deviation flagsClinical decision points, standard-of-care language, and causation statements, verbatim.Open in the builder
Find contradictionsMixed / full case record
Audit the defense expert: report vs. depoNew opinions, basis shifts, and undisclosed reliance materials.Open in the builder
Extract from the recordDeposition transcript
Pull provider admissions out of the depoWhat should have been done, what was known, and when — with page:line.Open in the builder
Interrogate the fileMixed / full case record
Open a cited Q&A session on the chartChart-versus-recollection discipline enforced on every answer.Open in the builder

A complete example prompt

The Medical malpractice — plaintiff lens adds this practice context to every template: This work product supports the plaintiff in a medical negligence matter: establishing the standard of care, the deviation from it, and the causation chain running through the chart.

Here is one complete example: the “Build the chart chronology with deviation flags” workflow with medical records as the source. Run it on your own file in Ask your files, or copy it into an AI tool your firm approves.

Preview and copy the complete example
Build the chart chronology with deviation flags · Medical records

Synthetic example: Names, dates, organizations, and matter details are fictional placeholders, not a real case record.

Customize in builder
CONTEXT:
You are a litigation support analyst assisting medical malpractice plaintiff's counsel in a medical negligence claim matter. The attached production is the medical records of Alex Morgan. The incident at issue occurred on January 15, 2025. The injuries and conditions that matter are: standard-of-care deviations; decision timing; causation. This work product supports the plaintiff in a medical negligence matter: establishing the standard of care, the deviation from it, and the causation chain running through the chart.

INSTRUCTIONS:
Build a complete treatment chronology covering every encounter in the production — visits, imaging, procedures, therapy sessions, and telephone encounters. For each encounter capture: provider and facility; date of service; presenting complaints in the patient's words where recorded; objective findings; diagnoses exactly as stated in the record (do not supply diagnoses or codes the record does not state); treatment rendered; medications; work or activity restrictions; and the next-step plan. Separately and explicitly:
1. Flag every gap in treatment longer than 30 days.
2. Flag every reference to symptoms, injuries, or treatment pre-dating January 15, 2025.
3. Collect every causation statement — any provider language attributing or declining to attribute a condition to the incident — verbatim.

In this engagement, additionally: Anchor the chronology to clinical decision points — what was known, when it was known, and what was done or not done in response — and capture standard-of-care and causation language verbatim.

TEMPLATE — format your output exactly as follows:
## Chronology
| Date | Provider / facility | Complaints | Findings | Diagnoses (as stated) | Treatment / meds | Restrictions | Cite |
|---|---|---|---|---|---|---|---|
## Treatment gaps (> 30 days)
| Gap | Last visit before (cite) | First visit after (cite) |
|---|---|---|
## Pre-existing / prior history references
| Date | Provider | Verbatim reference | Cite |
|---|---|---|---|
## Causation statements (verbatim)
| Date | Provider | Exact language | Cite |
|---|---|---|---|

EVIDENCE REQUIREMENTS:
For every entry, cite provider, date of service, and the page or Bates number of the source record. Record diagnoses and causation language exactly as written — never normalize, upgrade, or infer a diagnosis, and never supply an ICD code the record does not contain. If a record page is illegible or an encounter is referenced but missing from the production, list it under a final heading "Missing or illegible — request from provider" rather than guessing at its contents.

Unless a section above specifies its own marker, write "not found in the record" wherever the provided record does not support a requested finding. Do not infer or fill gaps from outside knowledge.
The scope is limited to the requested task, stated issues, and provided record. Do not introduce outside subjects or sources.
A human reviewer must verify every material statement and citation against the source record before relying on or sharing the output.

Every template in the library assembles like this with the Medical malpractice — plaintiff lens: open the builder and add only the assignment details needed, using neutral labels where possible, or read the Attorney's Guide to AI Prompting for the method behind it.

What this lens changes in each task

Extract from the record
Prioritize testimony and chart language bearing on the applicable standard of care, departures from protocols or orders, and admissions about what should have been done differently.
Build a chronology
Anchor the chronology to clinical decision points — what was known, when it was known, and what was done or not done in response — and capture standard-of-care and causation language verbatim.
Find contradictions
Focus on divergence between the chart and later testimony of the providers who wrote it, and between providers' accounts of the same clinical events.
Summarize the record
Organize around the elements: duty, the standard of care as the record states it, deviation evidence, causation, and damages — flagging where expert foundation exists and where it is still missing.
Draft from the record
Write toward the causation chain — each clinical decision linked to its consequence — with provider language quoted verbatim and no medical conclusions the record does not state.
Interrogate the file
In every answer, distinguish what the chart documents from what witnesses later recalled, and flag chart entries that appear altered, late, or out of sequence.

Common questions

How can medical malpractice plaintiff lawyers use AI on medical records?

Medical malpractice plaintiff lawyers can use AI to build a chart chronology anchored to clinical decision points, capturing standard-of-care and causation language verbatim with page cites. The chronology shows what was known, when, and what was done. Plaintiff’s counsel and the retained expert verify every entry before it supports an affidavit, complaint, or opinion.

Can AI spot late or out-of-sequence chart entries?

AI can flag chart entries that appear late, out of sequence, or inconsistent with surrounding notes, citing each one. It cannot determine whether a record was altered. In medical malpractice plaintiff work, counsel treats the flags as leads, requests audit trails where appropriate, and relies on qualified experts for any conclusion about the chart.

How do I audit a defense expert’s report against their deposition with AI?

Give the AI the defense expert’s report and deposition transcript, and ask for new opinions, changed bases, and undisclosed reliance materials, each with the report page and the transcript page:line side by side. In medical malpractice plaintiff work, counsel reads both sources before deciding whether a change supports a motion or cross-examination.

Template guides

Read the general guide for each workflow below. To apply the Medical malpractice — plaintiff context to your own facts, use the builder actions above.

Prompt library