Most AI-style calculators work by taking a set of inputs and applying simplified “averages” to categories like medical treatment, time missed from work, and the severity of injuries. Some tools present results as ranges, while others generate a single figure. Either way, the tool is not really “thinking” like an adjuster with a file in front of them. It is applying a pattern based on prior information that may not match your case.
In a trucking crash, that mismatch can be significant. Truck cases frequently involve multiple potential responsible parties, such as the driver, the trucking company, maintenance contractors, or equipment-related parties. An AI calculator may not know whether liability will be contested or whether evidence exists to support a strong narrative of negligence. Without that context, a number can appear confident even when the legal foundation is still uncertain.
AI tools also tend to assume that injuries and losses are documented in a linear way. In real life, treatment can be delayed due to access issues, transportation challenges, or the need to stabilize more urgent symptoms first. In South Dakota, where distances can be long, it’s common for patients to coordinate care across locations. If the tool does not reflect those realities, the estimate may understate or overstate your damages.
Another limitation is causation. A calculator cannot determine whether a later symptom is truly connected to the crash, whether a pre-existing condition was aggravated, or whether the medical record supports the timeline. Those are legal and medical questions that depend on clinical notes, imaging, follow-up visits, and consistent reporting.


