Most AI tools build a rough picture of value by sorting injuries into broad categories and then applying assumptions about future care, lost earning capacity, and non-economic harm. The tool’s “confidence” may feel convincing, but the model is usually only as accurate as the inputs you provide and the general patterns it has learned. That matters because spinal cord injuries vary widely in severity, complications, and long-term functional impact.
In Vermont, those variations can be even more important because the practical cost of living, transportation realities, and access to specialized care can affect what “reasonable” future needs look like. A person may need durable medical equipment, home modifications, and consistent therapy, but the specifics of where they live and how care is scheduled can change the damages picture.
AI calculators also tend to treat medical diagnosis labels as if they correlate perfectly with outcomes. In real cases, two people with similar injury terms can have different neurological function, different complication histories, and different recovery trajectories. A calculator cannot fully evaluate imaging reports, neurological exams, urodynamic testing, skin-risk history, respiratory concerns, or the clinician-backed prognosis that lawyers and insurers rely on.
Even when an AI tool gives a range, it cannot know how fault disputes will play out, whether multiple parties may be responsible, or how credibility issues can affect valuation. Vermont insurance practices, negotiation norms, and the willingness of parties to resolve early can also influence the end result. The best approach is to use AI as a starting point for questions, not as a substitute for legal analysis.


