Home
>
Blog
>
>
Keeping a Product Liability Record Review Defensible: The Do's and Don'ts
Here's what keeps a product liability medical record review defensible when someone challenges it:
- Source every fact – Each entry cites the page and Bates number, so it can be traced in seconds instead of re-read.
- Keep opinions out – A review that draws conclusions hands the other side something to attack. Report what the records document.
- One method, every claimant – Consistent structure across the whole set makes patterns visible and the methodology defensible.
- Verify the AI, and show it – AI extracts and indexes; a qualified human checks context and accuracy, and that check is documented.
Read on for the full do's and don'ts, plus a gut-check you can run on your current review.
A defensible medical record review is one where every fact traces to a page, no opinion is baked in, and the same method was applied to every claimant. Worried your record review won't survive the day someone actually challenges it? That's a reasonable worry, and it's fixable long before deposition.
In product liability, the medical records carry the injury story across dozens or hundreds of claimants. The review of those records has to be solid enough that nobody spends the deposition talking about the review instead of the injury. Let's go through what holds up, and what quietly doesn't.
Do demand a source for every single fact
This is the foundation. Every entry in the review should cite the page, and ideally the Bates number, it came from. "The claimant reported knee pain in March" is an assertion. "Knee pain reported 14 March (Bates 002317)" is evidence. When challenged, the first can only be defended by re-reading the chart. The second answers the question on the spot. If a review's entries can't be traced back in seconds, it isn't defensible. It's just confident.
Don't accept conclusions in the summary
A summary that announces the injury is "consistent with" a product defect has done your expert's job badly and yours worse. The moment a reviewer draws a conclusion, opposing counsel has something to attack that has nothing to do with the facts of the injury. A record review reports what the records document. Full stop.
Defensibility is built in, not inspected in
LezDo TechMed runs a three-layer quality-control process with reviewers who are medical and paramedical professionals, more than 90 of them licensed nurses and doctors. That structure exists so verification happens before delivery rather than in a deposition, which is the one place you don't want to discover a sourcing problem.
Do apply one methodology to every claimant
In multi-claimant work, consistency is evidence in itself. If claimant 12's review is structured differently from claimant 240's, patterns get harder to see and the methodology gets harder to defend. One format, one standard, one set of rules about what gets flagged, applied identically across the whole set. That is also what lets you say, credibly, that every file was handled the same way. LezDo TechMed's medical record review services apply the same structure and QC to every file in a matter, and our product liability litigation support work is built around that kind of multi-claimant consistency.
Don't let the reviewer answer the causation question
This is the one worth keeping in bold. Causation belongs to the retained expert and the court. A record reviewer who starts explaining why an injury happened has stepped outside what they can defend and handed the other side an easy target. The reviewer's job is to organize the documented evidence, build the timeline, flag prior conditions and inconsistencies, and cite all of it. The expert forms the opinion. Keep that line clean and the review stays boring, which is exactly what you want when it's challenged.
Want to see what a sourced, opinion-free review looks like?
Do insist on documented human verification of AI output
AI is in this workflow now, and pretending otherwise helps nobody. It reads volume fast, classifies documents and builds first-pass timelines across hundreds of claimant files. What matters for defensibility is whether a qualified human verified what the AI produced, and whether you can show that. At LezDo TechMed, AI handles extraction and indexing, medical experts review for context, relevance and accuracy, and the process is documented. "A person checked this, and here is how" is an answer. "The software did it" is not.
Don't trust anyone who promises 100% accuracy
Here's a test that costs nothing. Ask a vendor whether their review is 100% accurate. If they say yes, be careful. Nobody reviewing thousands of pages of handwritten, scanned, multi-provider records can honestly promise perfection, and a claim like that falls apart the first time a single entry is wrong. What you want instead is a documented process, a quality-control structure, and honesty about limits. LezDo TechMed publishes a 99.8% accuracy rate as a company figure and is careful not to present it as a per-deliverable guarantee, because that is not how records behave. You can see how the work reads across matters in our case studies.
A record review that draws conclusions has handed the other side something to attack that has nothing to do with the injury.
Do flag prior conditions plainly, early, and without spin
Prior conditions are going to surface. The only question is whether they surface in your review or in the opposing expert's report. A defensible review lists them factually, with dates and sources, and doesn't characterize them as helpful or harmful to the case. That characterization is not the reviewer's call. It also means you are never surprised, which is most of the value.
Don't wait until deposition to ask how the review was done
Ask on day one. How are facts sourced? What gets flagged? Who verified it? Is the methodology written down? Was the same process used on every claimant? If a vendor cannot answer those in a sentence each, the answers will not improve under oath.
A gut-check you can run in the next two minutes: pick one entry from your current review at random and try to trace it to a page. How long did that take? If it was more than a few seconds, that is your defensibility gap, and it's better to find it now than across the table.
What a defensible review is built on
3-layer
Quality control
Verification happens before delivery, not in a deposition.
90+
Licensed nurses and doctors
Medical and paramedical professionals reviewing the records.
Sourced
Every entry
Page and Bates-level citations you can trace in seconds.
Frequently asked questions
What makes a medical record review defensible?

Every fact is cited to a page or Bates number, no conclusions are drawn in the summary, the same methodology is applied to every claimant, and any AI output is verified by a qualified human reviewer with that verification documented.
Should a medical record review state whether a product caused an injury?

No. Causation is determined by the retained expert and the court. A record review organizes documented medical evidence, builds the timeline, flags prior conditions and inconsistencies, and cites the sources. It does not offer medical or legal opinions.
Does using AI make a record review indefensible?

Not by itself. What matters is whether a qualified human verified the AI's output and whether that verification can be shown. AI handles extraction and indexing at volume, while medical experts review for context, relevance and accuracy.
Why does consistency across claimants matter in product liability?

Inconsistent structure hides patterns and weakens the methodology. Applying one format and one set of flagging rules across every claimant file makes patterns visible and makes the process defensible as a whole.
Can a medical record review vendor guarantee 100% accuracy?

No honest vendor can promise perfection across thousands of pages of scanned, handwritten, multi-provider records. LezDo TechMed publishes a 99.8% accuracy rate as a company figure and does not present it as a per-deliverable guarantee. Look for a documented process and quality-control structure instead.
How should prior conditions be handled in a defensible review?

They should be listed factually with dates and page citations, without being characterized as helpful or harmful to the case. Characterizing them is the role of the attorney and the retained expert, not the record reviewer.
Bringing it back to your matter
A defensible medical record review comes from discipline, not cleverness. Source every fact. Keep opinions out. Apply the same method to every claimant. Verify the AI with a human and document it. Flag prior conditions without spin. Ask how the review was done before you need to explain how it was done. Do that, and the review stops being a liability and goes back to being what it should be: the factual floor your expert stands on.
Nobody wins a product liability case because the record review was excellent. Plenty of time gets lost when it isn't. Ready to see how a sourced, opinion-free review actually reads? Partner with LezDo TechMed, or download a sample and check the citations yourself.
Source Credit : All metrics derived from LezDo TechMed’s internal project data.
Anjana Devi Vijay
Anjana Devi Vijay is a Certified Legal Nurse Consultant (CLNC) and Medical–Legal Research Analyst with 9+ years of experience in medical record review, deposition summary analysis, and medico-legal research. She specializes in transforming complex healthcare documentation into accurate, actionable insights that support attorneys, insurers, and medical evaluators. With expertise in clinical documentation analysis and legal case support, she creates research-driven content focused on improving decision-making and case outcomes.