AI tools generally work by pattern-matching your inputs—like your diagnosis, the date of injury, missed work, and the body part affected—against outcomes seen in other cases.
That can be helpful when you’re trying to answer a basic question: “What categories of evidence tend to affect settlement value?”
However, AI estimates commonly break down when your file includes details that don’t fit clean training patterns—such as:
- inconsistencies between early reports and later medical notes
- restrictions that change over time (common when symptoms fluctuate)
- disputes about whether the work incident caused the condition
- wage calculations that don’t reflect your real earnings structure
In West Palm Beach, those issues often show up when claims involve fast-moving workplaces, shift-based schedules, seasonal staffing, or injuries that develop after an initial incident (for example, strains that worsen after repeated tasks).


