AI-based settlement estimates typically use patterns—how other claims with similar injury types were resolved. That’s why the output can look convincing at first.
In Wallington, however, many working people commute to different job sites, juggle family schedules, and may return to modified duties as soon as possible. That can create a record that’s harder to interpret later:
- Inconsistent treatment timing due to work and travel demands
- Gaps in documentation when symptoms fluctuate
- Early return-to-work pressure that affects how restrictions are recorded
- Wage details that are more complex than a simple “hourly rate” (overtime, shift changes, or varying schedules)
These aren’t reasons to doubt your case—they’re reasons the settlement value depends heavily on how the file is assembled.


