Independent Human Verification for AI-Generated Demands,
Medical Chronologies & Legal Work Product
Medical Chronologies & Legal Work Product
Your firm adopted AI to draft demand letters and medical chronologies faster. The upside is real — but so is the exposure.
A polished demand letter or medical chronology may contain a wrong date, misstated diagnosis, unsupported treatment, incorrect ICD code, duplicated medical expense, inflated damages calculation, incorrect citation, or a factual statement that cannot be traced to the source records. These errors can undermine credibility, create unnecessary negotiation problems, and force attorneys and staff to spend valuable time rechecking AI-generated work.
Our role is simple: provide the human eyes over AI that your personal injury practice needs.
FactAssess provides independent AI output audit services built specifically for personal injury law firms using AI drafting tools. We don't replace your AI, we verify it.
Our AI Output Audit Services provide an independent, human-led quality-control review of AI-generated demand letters, medical chronologies, injury summaries, case narratives, and other personal injury legal work product. We trace factual claims back to the underlying records, identify hallucinations and unsupported statements, verify medical and billing details, check calculations, and flag compliance and formatting issues before the document reaches an insurance adjuster, opposing counsel, or a judge.
If your firm uses AI to generate demand letters or medical chronologies, an independent AI output audit isn't optional anymore. It's the difference between a defensible document and an unverified one.
What Is an AI Output Audit?
An AI output audit is an independent, human-led verification process applied to any AI-generated legal or medical-legal document — demand letters, medical chronologies, and damages calculations. Rather than trusting an AI drafting tool's output at face value, our reviewers check the document line by line against the actual source records: medical charts, billing statements, provider notes, police reports, and other case files to determine whether the output is factually supported, internally consistent, mathematically accurate, and professionally usable.
This is not another AI rewrite. It is an independent human verification layer designed to catch what automated legal drafting tools can miss.
The result: an audited, audit-trailed version of your AI-generated demand letter or chronology that your firm can stand behind and point to, if a claim, a citation, or a damages figure is ever challenged.
What We Check in Every AI Output Audit
Our AI output audit process covers six core verification areas, applied to demand letters and medical chronologies alike:
1
Source-Traceability of Every Factual Claim
We verify dates, facts, diagnoses, treatment history, and causation statements against the underlying case records — flagging unsupported, overstated, or duplicated claims.
2
Hallucination Detection
Generative AI tools are known to fabricate details — a citation that doesn't exist, a treatment that was never administered, a provider who never saw the client, incorrect chronology sequencing etc. Our reviewers are trained to catch AI hallucinations in medical-legal documents before they become a liability in front of an adjuster or the court.
3
ICD/CPT Code Accuracy
Incorrect or mismatched ICD diagnostic codes / CPT treatment codes can weaken a demand letter's credibility and create friction during claims review. We cross-check every ICD/CPT code cited against the underlying diagnosis and treatment records.
4
Damages and Treatment Cost Math
AI tools can miscalculate cumulative treatment costs, lost wages, or projected future care expenses — especially across multi-provider, multi-year records. We reconcile AI-generated damages summaries against the available billing information and calculations.
5
Medical Chronology Accuracy
For AI-generated demands and medical chronologies, we verify whether the timeline accurately reflects client's treatment journey and whether clinically important events have been omitted, duplicated, or incorrectly sequenced. We also ensure that the corresponding exhibits match the chronological sequence determined in the demand/medical chronology.
6
Formatting and Compliance
Beyond accuracy, we confirm the document meets your firm's formatting standards and any jurisdiction-specific compliance requirements, so what goes out the door looks — and reads — like it came from your firm, not a generic AI template.
What You Receive — Audited Document + Audit Trail Memo
Every AI output audit produces two deliverables:
An audited, redlined document — your original AI-generated demand letter or medical chronology, with every verified claim confirmed and every flagged issue corrected or marked for your review.
An audit trail memo — a standalone record showing exactly what was checked, what was verified, and what (if anything) was corrected. This is the document your firm can point to if a claim's accuracy is ever questioned by an adjuster, opposing counsel, or in a malpractice review.
You're not just getting a cleaner document. You're getting a defensible paper trail showing your firm exercised independent, professional verification of AI-assisted work — increasingly the standard of care expected by courts and bar associations as AI use in legal drafting becomes routine.
Who This Service Is For
Our AI output audit service is built for personal injury firms already using AI drafting platforms for demand letters and medical chronologies — including firms working with Filevine, Supio, Tavrn, ProPlaintiff AI, Law Practice AI, and similar AI-native legal drafting tools.
You don't need to change your AI workflow to work with us. We integrate as the verification layer on top of whatever tool your firm already uses — reviewing the output your AI platform produces before it goes to an adjuster, gets filed, or gets used in negotiation.
This service is especially valuable for:
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Firms handling catastrophic injury, TBI, or multi-provider cases, where AI drafting tools are most prone to error
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Firms that want a documented QA process for AI-assisted work product, ahead of emerging court disclosure and audit requirements around AI-generated filings
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Firms that want the speed benefits of AI drafting without the unverified-output risk
Turnaround Time & Pricing
Most AI output audits are completed within 12 business hours of document and record submission, so your AI-drafting speed advantage isn't lost to a slow review process. Complex or catastrophic-injury files may take longer depending on record volume and provider count.
Pricing is structured per document, based on record volume and case complexity — not hourly billing. See our full AI Output Audit Pricing page for current rates and turnaround tiers, or request a sample audit to see the process on one of your own files before committing.
FAQs
Common questions about our AI output audit service.
Before your next AI-generated demand letter goes to an adjuster, know it's right.
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