AI Medical-Record Summaries in Michigan Injury Cases
A single hospital stay after a serious crash can produce a thousand pages of records, and a long course of treatment can produce many times that. Law firms now feed those records to artificial intelligence tools that build a chronology, pull out diagnoses, and flag the entries that support a claim. Used carefully, the technology saves days of work. Used carelessly, it can put a wrong date, a missed diagnosis, or a confidential patient record where it does not belong. This guide explains how a Michigan injury firm can use AI medical-record summaries without trading away accuracy, confidentiality, or the value of a client’s case.
Why Records Review Drives an Injury Claim
In a Michigan no-fault or personal injury case, the medical records are the proof. They establish the diagnosis, tie the injury to the crash, document the treatment, and support the bills. Under MCL 500.3107, an injured person’s allowable expenses are the reasonable charges incurred for reasonably necessary care, and after the 2019 reforms MCL 500.3157 sets the fee schedule that limits what many providers can charge. A claim stands or falls on whether the records show necessary care for an injury the crash caused, so the summary that organizes those records has to be right.
An AI tool can read those records far faster than a person and can assemble a usable first draft of the medical chronology. The risk is that the tool can also misread a handwritten note, drop a visit, or quietly invent a detail that is not in the source. A chronology that looks polished but contains an error the lawyer never caught is more dangerous than a rough one, because it invites reliance.
The Duty to Verify Is Not Optional
On July 29, 2024, the American Bar Association issued Formal Opinion 512, its first ethics guidance on lawyers’ use of generative AI. ABA opinions are persuasive rather than binding in Michigan, but the State Bar’s ethics authorities are likely to read the Michigan rules the same way. The opinion confirms what the rules of professional conduct already imply: a lawyer who relies on an AI output without an appropriate degree of independent verification can violate the duty of competence under MRPC 1.1. A vendor’s accuracy claim does not shift that duty, and there is no waiver that lets a lawyer skip the check. When an AI platform summarizes a client’s hospital records, the lawyer who relies on that summary is the one accountable for what it says.
In practice this means the summary is a starting point, not an exhibit. Every date, diagnosis, and figure that will be used in a demand, a deposition, or a filing has to be traced back to the underlying record. The same principle governs AI that drafts text, and we cover it in detail in our guide to AI hallucinations and court sanctions in Michigan. The verification step is the difference between a tool that helps and a tool that creates malpractice exposure.
Confidentiality and Protected Health Information
Medical records are among the most sensitive documents a firm handles. Feeding them to an AI platform raises a confidentiality question under MRPC 1.6, because the lawyer has to know where the data goes, whether the vendor trains its models on it, and whether it could surface outside the matter. A consumer chatbot that reserves the right to reuse whatever is typed into it is the wrong place for a client’s psychiatric history or HIV status. A vendor relationship with clear contractual limits on data use, retention, and access is the right place. Where the records include protected health information, that vendor relationship also has to satisfy any applicable HIPAA business-associate requirements, not just the ethics rules. The choice of tool is itself a professional decision, not just an IT preference.
This is the same set of concerns that arises with AI note-takers and transcription tools that sit in on privileged conversations, which we address in our guide to AI note-takers, privilege, and discovery risk in Michigan. The common thread is simple: before client data goes into any AI system, the lawyer has to know what the system will do with it.
Will the Summary Hold Up as Evidence?
An AI-generated summary is work product, not the record. The records themselves come in as evidence, usually under the business-records exception in MRE 803(6), which admits records of regularly conducted activity when a custodian or qualified witness lays the foundation or a proper certification is provided. The AI summary does not inherit that status. If a retained expert relies on the records to form an opinion, the expert’s analysis is measured under MRE 702, and an opinion built on an unverified machine summary rather than the actual records is an easy target on cross-examination. The safe path is to treat the AI output as an internal index that points to admissible source documents, never as a substitute for them.
Where AI Summaries Help and Where They Hurt
| Task | AI is well suited | Human review is required |
|---|---|---|
| Building a first-draft chronology | Sorting thousands of pages into date order quickly | Confirming dates and catching dropped visits against the source |
| Identifying diagnoses and providers | Surfacing terms and names across a large file | Verifying each diagnosis ties to the crash and is not misread |
| Tallying bills and charges | Pulling charge entries into one place | Checking figures against MCL 500.3107 and MCL 500.3157 limits in no-fault cases |
| Spotting gaps in treatment | Flagging date ranges with no records | Explaining gaps and avoiding false assumptions about causation |
The pattern is consistent. AI is strong at speed and organization across a large volume of records, and weak wherever judgment, causation, or accuracy is on the line. The firm that keeps a human on every judgment call gets the time savings without the risk.
यह आपके मामले के लिए क्या मायने रखता है
If your lawyer uses AI to help review your records, that is normal and often a sign of an efficient practice. What matters is that a person checks the work, protects your private health information, and never lets a machine summary stand in for the actual records that prove your claim. A related concern, when AI is used in the diagnosis itself rather than the records review, is covered in our guide to AI misdiagnosis and medical liability in Michigan, and the billing-code side appears in our guide to AI medical coding and Michigan no-fault utilization review.
अक्सर पूछे जाने वाले प्रश्न
Is it ethical for my lawyer to use AI to summarize my medical records?
Yes, when it is done with care. ABA Formal Opinion 512 (July 29, 2024) permits AI use but requires the lawyer to verify the output under MRPC 1.1 and protect your confidential information under MRPC 1.6. The duty stays with the lawyer, not the software.
Could an AI summary contain mistakes that hurt my claim?
It can if no one checks it. AI tools can misread notes, drop a visit, or state a detail that is not in the record. That is why every date, diagnosis, and figure used in your case has to be traced back to the original record before anyone relies on it.
Is my private health information safe in an AI tool?
It depends on the tool. Under MRPC 1.6 a lawyer must know whether the vendor reuses or trains on the data. A consumer chatbot is the wrong place for sensitive records; a vendor with contractual limits on data use and retention is the right place.
Can an AI summary be used as evidence in court?
The summary itself is work product, not evidence. Your medical records come in under MRE 803(6) as business records, and any expert who relies on them is judged under MRE 702. The AI output should serve as an index that points to the admissible records, not replace them. Even when an expert uses an AI summary internally, the testimony should rest on the underlying records, not on the summary itself.
How does this affect what the insurer has to pay?
Your allowable expenses are governed by MCL 500.3107, and many provider charges are limited by the fee schedule in MCL 500.3157. Accurate records review is what proves the care was necessary and the charges are correct, which is exactly what an insurer will test.
Worried your medical records are not telling the full story of your injury?
Attorney Manny Chahal reviews the complete record, by hand where it counts, to build the strongest claim. Free statewide consultation. No fee unless we recover.
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