In and around New Hope, fatal cases frequently involve scenarios where details matter: sudden stops in traffic, lane changes, intersections with heavy turning movements, speeding, distraction, or difficulties identifying exactly what happened in the moments before impact.
AI tools typically cannot:
- confirm which party’s conduct legally caused the death (not just “might have contributed”)
- evaluate credibility of statements made at the scene
- account for Minnesota-specific defenses and how insurers frame fault
- review medical records to determine the causal timeline from injury to death
That means an automated estimate can look precise while being based on incomplete assumptions—sometimes leading families to underestimate the strength of documentation they already have, or overestimate outcomes when key proof is missing.


