AI-based tools typically process inputs like:
- injury severity and treatment timeline
- reported expenses
- lost time from work
- general categories of non-economic harm
That can be useful if you need a quick way to organize your losses.
But in real North Carolina trucking cases, the number an AI tool generates may miss the issues that decide valuation—especially when insurers challenge causation or shift blame. A calculator can’t review:
- the actual crash report narrative and cited violations
- whether the driver’s event fits within regulated trucking practices
- maintenance or inspection gaps tied to the specific vehicle involved
- how North Carolina’s evidence requirements and comparative fault concepts play out in negotiation
Bottom line: in Leland, an AI estimate is best treated like a worksheet—not a prediction.


