The adjuster never doubts the injury. He doubts the paper behind it.
Every line item an adjuster reduces is an argument about proof. Treatment he calls unrelated. A course of therapy he says is not documented. A charge with no record behind it. The case did not get weaker between filing and the reduction letter. The file did not carry the record.
VerixAi is medico-legal AI for personal injury attorneys. It reads the whole record set, builds a cited chronology and provider timeline, reports what is missing before the demand goes out, and organizes damages evidence with each amount tied to the page it came from. Medical record review for personal injury is the entire job it was built for, by clinicians and expert witnesses rather than by a general legal platform adding a medical feature.
A demand is worth what the pages behind it can prove. Adjusters do not reduce a number because the narrative was unconvincing. They reduce it where the treatment, the causal link, or the charge is not documented in the set you sent them.
An incomplete record set looks exactly like a complete one. Same clean dates, same confident narrative. Record Integrity reports the referral with no consult note and the discharge order with no therapy records behind it, while there is still time to request them.
Every damages entry points at a page. Where billing exists in the record, VerixAi reports the amount the record supports. Where it does not, the entry says the amount is not stated instead of filling the gap with an estimate.
VerixAi does not put a value on your case. It organizes and cites the evidence of damages. What the matter is worth, what you will demand, and what you will accept stay with you.
You cannot prove treatment that is not in the set.
Nobody loses a demand because the writing was weak. The reductions land where the paper did not follow the injury. The therapy course ordered in a discharge instruction and never produced. The imaging read that exists only as a sentence in somebody else's note. The charge with no itemized bill behind it. From the desk on the other side, treatment that is undocumented and treatment that did not happen look the same.
That is not a failure of review. One matter can run to thousands of pages from a dozen providers, arriving scanned, duplicated, and out of order, and the item that costs you is defined by its absence. Nothing in the stack points at it. Confident output with nothing behind it is the villain here, not the volume and not the reviewer.
A demand nobody can check line by line still gets checked line by line. By the other side.
What actually changes on a personal injury file?
Three things change, and all three move work that currently happens after the demand to before it. The order matters more than the feature list. The record gets structured, the holes in it get reported, and only then does anything get drafted.
The chronology arrives built, and every line points somewhere
Generate the chronology and provider timeline with built-in clinical validation, with every entry traceable to its source document and page. Events are organized by provider and encounter rather than by the order the records arrived in, duplicates are collapsed, and ICD Codes are surfaced against the encounters they belong to. See medical chronology software, the medical timeline, and ICD Codes. For long matters, the method is in our guide on how to review 10,000 pages of medical records.
You learn what is missing while you can still request it
Record Integrity runs against the working set and reports what it does not contain: the referral with no matching consult note, the operative report with no anesthesia record, the ordered course of treatment with no visit notes behind it. This is the question the category discusses least and the one that costs most, because an incomplete set produces a clean, confident, undervalued demand. See Record Integrity and how to identify missing records.
The demand gets assembled out of cited evidence, not out of memory
The Demand Letter workflow drafts from the structured record rather than from a summary of it, paragraph by paragraph. What you send is what you approved, and every fact in it walks back to a page you can put in front of the person questioning it.
How does the VerixAi Demand Letter workflow work?
It runs as a five step stepper, and the letter does not leave the system until you have approved it paragraph by paragraph. The generation is automated. The judgment is not. Human review was consolidated into one place in the workflow rather than removed from it, because one review step that is actually used beats four that get clicked through.
1. Prerequisites
The workflow checks that the case has what a demand needs behind it. A letter drafted off a partial set is the expensive failure here, so the gate sits at the front.
2. Intake and Records
Case facts and the record set are confirmed together, with a gate between this step and generation. Record Integrity findings land here, because the point of knowing what is missing is to act on it before the letter exists, not to caveat it afterwards.
3. Generating
Generation runs in four automated phases against the structured record, not against a summary of it. A draft written from a summary inherits every compression the summary made, and you cannot audit what was dropped.
4. Demand Letter Edit
Each paragraph can be approved, revised, regenerated, or reordered on its own. You are signing off on the specific sentences you will have to stand behind, with the record that supports each one next to it.
5. Review and Export
A final pass over the assembled letter, then export. Nothing exports that you have not approved. Related reading on the shape of the finished document is in our comparison of AI for demand letters.
Does VerixAi calculate what the case is worth?
No. VerixAi organizes and cites the evidence of damages and reports the amounts the record supports. It does not total the file, assign a settlement value, or estimate what a matter should bring. That judgment stays with the attorney, because it is made out of venue, posture, the carrier, the client, and twenty things that are not in the medical record.
What it does instead is reconcile. Every documented encounter is matched against the billing in the produced records, so the treatment, the charge, and the page line up in one row. Where billing exists, the amount the record supports is reported. Where it does not, the entry says the amount is not stated rather than interpolating a number somebody can take apart.
| Damages item | Documented in the record | Billing in the produced set | Cited to |
|---|---|---|---|
| Emergency department admission | Triage note, radiology read, admission order | Itemized facility charges present | ED encounter, page 12, Bates 0044 |
| Operative repair, left ankle | Operative report, anesthesia record, post-operative confirmation of fixation | Facility charges present, implant charges not itemized | Operative report, page 3, Bates 1/6 |
| Hardware and implant | Placement documented in the operative report | Amount not stated in the produced records | Operative report, page 3 |
| Post-operative physical therapy | Ordered in discharge instructions, completion referenced in primary care note | Amount not stated, therapy records not in the produced set | Discharge instructions, page 1,412 |
| Follow up orthopedic visits | Four office visits with imaging at two of them | Professional charges present | Orthopedic clinic notes, pages 88 to 96 |
Two of the five rows above are worth more to you than the three that are complete. A row reading amount not stated is a request you have not sent yet.
How do you prove a fact the adjuster disputes?
You put the page in front of them. Every finding VerixAi produces carries a VeriSource citation to the source document, the exact page, and the Bates reference where the record carries one, with the supporting passage shown alongside it. Nothing has to be reconstructed from a summary, and nobody has to go back into the stack to find out where a sentence came from.
The second line in the entry below is the one that matters on a demand. Where the record is silent, VerixAi says so, in the entry, next to what the record does establish. An entry that quietly wrote around the missing implant charge would read better and cost you the request. Demonstrating that restraint is harder to build than claiming accuracy, and it is the part you can check in twenty minutes with a record set of your own. Our guide on why source traceability matters covers what to test.
Fixation confirmed intraoperatively. Hardware and implant detail not itemized in this report.
Who built the software, and why does that matter on a demand?
It matters because somebody had to decide what counts as a gap, what warrants a flag, and what an entry should say when the answer is not in the file. Those are clinical and evidentiary judgments encoded into software, and almost no vendor in this category tells you who made them. Clinician-built is rare in this category, and who built the product is a question with a checkable answer.
VerixAi was built by clinicians and expert witnesses, led by a cardiac surgeon and former OHSU professor who has been retained as an expert. One missing record, or one sentence nobody can source, is all it takes to hand the other side an opening. That is why the product reports absence as a finding rather than passing over it.
AI for personal injury attorneys, answered.
What does AI for personal injury attorneys actually do?
It does the structuring work that has to happen before anyone can argue about the case. VerixAi ingests the full record set, builds a chronology and provider timeline, surfaces ICD Codes against the encounters they belong to, reports what is missing from the set, and organizes the damages evidence with each item cited to the page it came from.
It does not decide anything. The demand strategy, the number, and the client conversation are yours.
Can AI write a demand letter?
It can draft one from the structured record, and you should expect to approve it paragraph by paragraph before it goes anywhere. The VerixAi Demand Letter workflow runs as a five step stepper: prerequisites, intake and records, generating, a per paragraph edit step where each paragraph can be approved, revised, regenerated, or reordered, and a final review and export.
The paragraph level matters because a demand is not one claim. It is thirty of them, and the two you would not have written are easier to catch separated out than buried in a document you accept or reject as a whole.
Does VerixAi calculate the value of my case?
No. VerixAi organizes and cites the evidence of damages and reports the amounts the record supports, with real amounts where billing exists in the produced records and a plain statement that the amount is not stated where it does not. It does not total the file, assign a settlement value, or estimate what a matter should bring.
That line is deliberate. A number generated by software is a number whose provenance the other side gets to attack, and the valuation judgment belongs to the attorney.
How do I know the chronology did not miss a record?
Ask the software what is missing, not what it found. A tool that reports only what it found cannot tell you whether the set is complete, because an incomplete record set looks exactly like a complete one: same clean dates, same confident narrative, no visible hole.
VerixAi runs Record Integrity across the working set and reports what the set does not contain. A referral with no matching consult note behind it, or a course of therapy ordered in a discharge instruction with no therapy records produced, is a finding rather than a silence.
Can a general AI assistant read a full personal injury record set?
General AI assistants are powerful drafting and reasoning tools and they are not built to ingest a full litigation record set. One matter can run to tens of thousands of pages across a dozen providers, arriving scanned and handwritten, and the assistant has no structural view of which documents are duplicates, which are missing, or which page a statement came from.
Purpose-built medico-legal software does the structuring, deduplication, and citation first. Many firms use both, for different parts of the job.
Will the analysis hold up when defense counsel pushes back?
It holds up to the extent that every statement in it resolves to a document and a page that the person questioning it can open. That is what VeriSource is for: each finding carries a citation to the source document, the exact page, and the Bates reference where the record carries one, with the supporting passage shown alongside.
The analysis is also posture neutral. The same findings surface whether the case is set up plaintiff, defense, or neutral, because an analysis tuned to produce a persuasive damages narrative is an argument and gets treated as one.
Does VerixAi retrieve records from providers?
No. VerixAi does not order, chase, or retrieve records from providers, and it is not case management or legal research software. It works on the record set you already have.
If your firm's real bottleneck is getting records out of providers at all, a retrieval service solves a problem no analysis tool can solve for you, and some platforms in this category offer it. What VerixAi gives you is the list of records you still need.
Can two people at my firm work the same case and see each other's work?
Partly, and this is worth knowing before you buy. A case can be shared with colleagues through Shareability, and the chronology, the timeline, and the analysis are shared with it. What is not shared is each user's own question threads, so two reviewers on the same matter do not see each other's questions or the answers they got.
It is the most frequent request we get, and the honest answer is that it is a gap today rather than a shipped capability. Ask about it directly on a demo.
What to do with your next hard file
Take a matter you have already worked, ideally one where the demand came back reduced, and run the same record set through. Ask it about a document you know is not in the set. Then follow one damages figure back to the bill, back to the encounter, back to the page. Bring a messy case rather than a clean one, because every tool in this category performs on a typed, complete set. The differences show up on the scanned page and the record nobody produced.
The three steps do not change. Upload the record. Review what it found, every line cited to the page. Take it into the demand. If you do nothing, the next reduction letter is still an argument about proof, answered out of a stack.
Bring the file that came back reduced.
Twenty minutes. Follow one damages figure back to its exact page, and see what the record does not establish.