AI calculators typically work like this: you enter a few facts (injury type, treatment, time off), and the tool outputs a likely range based on generalized patterns.
In Durham, the problem is that many real claim files don’t match the “average case” assumptions. Common ways this happens:
- Commuting and worksite realities: If your restrictions affected whether you could safely travel to a job location, meet shift timing, or perform physically demanding tasks, an AI tool may not capture how that impacted your actual earning capacity.
- Documentation gaps created by busy schedules: Durham’s healthcare system timelines (specialist scheduling, imaging turnaround, follow-up delays) can make treatment records look “uneven” even when you’re doing everything right.
- Insurer focus on functional ability: Adjusters often zero in on what you can do day-to-day and whether your limitations were clearly stated by your treating provider—not just what diagnosis you received.
The result: an estimate may look reasonable, but it can undervalue cases where the record is strong in some areas and complicated in others.


