AI tools typically take the information you enter—injury type, body part, treatment dates, missed work, and restrictions—and then generate a range based on patterns from other cases.
That can feel helpful when you’re waiting on benefits or trying to plan for the next few months. But in real La Grange claims, the “missing pieces” are often what drive the number:
- Whether your treating records clearly describe functional limits (not just pain)
- Whether wage loss is supported by payroll records that match your work schedule and overtime patterns
- Whether the insurer disputes causation (how the injury relates to the job) or maximum medical improvement
- Whether you have documented continuity—especially when treatment is delayed due to work/transportation constraints
AI can approximate. It can’t validate your timeline or predict how the insurer will frame the case.


