AI tools typically work by converting a few inputs (age, incident type, income) into a generic “range.” In Lino Lakes, MN, the details that matter often look nothing like the simplified assumptions.
For example:
- Winter driving conditions (ice, reduced traction, snow storage, visibility) can change how fault is allocated.
- Construction and detours can affect traffic flow, signage visibility, and driver reaction time.
- Multi-vehicle crashes complicate causation—someone else’s actions may be argued as the superseding cause.
- Late complications after an initial injury can raise disputed questions about whether the wrongful conduct caused the death.
A calculator can’t account for these Minnesota-specific fact patterns. If the “inputs” don’t match what’s in the police report, medical records, and scene evidence, the estimate may land far from reality.


