AI tools typically take inputs like injury severity, treatment length, and broad damage categories. That can be useful as a starting point—but it can also feel confident when the underlying assumptions don’t match your case.
In New Brunswick, common reasons AI-style estimates fall short include:
- Competing fault narratives (for example, disputes over lane position, merging behavior, or whether a driver reacted reasonably in traffic)
- Delayed or fragmented medical documentation (especially when symptoms worsen after the initial ER visit)
- Trucking-specific defenses (such as arguments about maintenance, cargo handling, or logbook compliance)
- Serious injury proof gaps (when imaging, specialist notes, or follow-up treatment aren’t clearly linked to the crash)
A calculator can’t review surveillance video near your route, evaluate the credibility of witnesses, or assess whether the trucking company’s records support or undermine liability.


