AI tools usually work by taking inputs—crash type, injury description, treatment length, and work impact—and then generating a projected range. That can help you anticipate which categories may matter most.
In real Waterbury cases, however, the final valuation often turns on details an online form can’t reliably capture, such as:
- Whether fault is clearly supported by evidence (not just asserted)
- How consistently symptoms were documented after the crash
- Whether treatment makes sense for the injury mechanism
- Whether insurers dispute causation based on timing or prior conditions
So the goal isn’t to treat an AI number as a settlement target. The goal is to use it to spot gaps you need to address—before you’re pressured into accepting an offer.


