AI tools generally work by asking for details—your injury type, treatment timeline, and losses—then using patterns from past cases to generate a range.
In Oak Forest, that’s only helpful if the inputs reflect what can be proven later. For example:
- Crash location and roadway context (turn lanes, merging behavior, limited sight distance) can heavily influence fault.
- Timing of treatment matters because insurers often question causation when symptoms don’t line up with records.
- Consistency of reporting matters when photos, witness statements, or police documentation conflict with later accounts.
AI can’t “see” the scene the way investigators do, and it can’t review Illinois medical records or evaluate credibility the way attorneys do. Treat an AI number as a rough drafting tool, not a prediction.


