AI-style calculators are built to look at patterns. Your claim isn’t a pattern—it’s a specific set of facts.
In Franklin TBI cases, the biggest reasons AI estimates go wrong typically include:
- Symptom timing doesn’t match the model. Some people have early symptoms; others notice issues after a delay. If the tool assumes a straight-line recovery, it may understate your damages.
- Treatment and follow-up gaps are common but costly. If you had to pause medical care because work schedules got in the way or you were waiting on appointments, an AI estimate may not account for how that affects valuation.
- Commuting-related realities aren’t “inputs.” If your symptoms are triggered by driving, screen time, night driving, or stress from traffic, those impacts need to be supported through records and functional evidence—something calculators can’t fully capture.
- Kentucky liability disputes can change the outcome. Even when liability seems obvious, insurance may argue comparative fault or causation issues. A generic estimate can’t measure how those disputes play out in negotiations.
The practical takeaway: treat AI as a worksheet—not a settlement promise.


