Many AI-style tools are designed to estimate value from generalized inputs. They may ask about diagnosis type, treatment duration, and symptoms—then output a range.
The problem is that TBI valuation is highly dependent on how well your file tells a consistent story.
In Minot, common issues we see that can skew early estimates include:
- Delayed symptom recognition after a winter slip, fall, or vehicle impact (especially when the first visit is “minor head injury” but symptoms evolve).
- Inconsistent treatment due to scheduling barriers, weather-related travel disruption, or difficulty accessing follow-up care.
- Gaps in documentation when headaches, sleep disruption, or cognitive problems are mentioned but not tied to objective exams, specialist notes, or functional limitations.
- Comparative fault arguments that insurers raise in rear-end and lane-change crashes—turning “what happened” into the central dispute.
An AI number can’t correct those weaknesses for you. It can only highlight what might be missing.


