AI tools are designed to be fast. They usually take inputs like the type of injury, length of recovery, and medical bills, then apply simplified assumptions.
That can be helpful for organizing your thinking, but it can miss practical factors that show up in Streator-area cases, such as:
- Work disruption tied to shift work, physically demanding jobs, or time away from work for follow-up care.
- Transportation and mobility issues that make treatment harder to complete consistently.
- Progression of symptoms that unfolds over weeks—when an AI estimate may assume a shorter or more predictable course.
- Gaps in documentation that happen when patients are seen across multiple providers or settings.
In other words, AI can approximate categories of harm, but it can’t verify what the treating records actually show.


