Most automated tools rely on generalized assumptions: a typical age range, broad damage categories, and “average” case outcomes. Lowell cases, however, often turn on details that are hard to reduce to a formula—such as:
- How the collision happened (intersection signal timing, lane position, visibility, weather/lighting)
- What documentation exists locally (police reports, EMS narratives, photos/video, witness statements)
- Whether liability is contested (shared fault arguments are common in serious injury cases)
- How quickly evidence was preserved after the incident
In other words, an estimate may look precise while being built on incomplete information. When fault or causation is disputed, the “range” from an AI calculator can be misleading.


