AI tools typically ask you for inputs like injury type, symptom duration, medical visits, and work impact. Then they generate a rough range for categories such as:
- past medical costs and treatment history
- lost wages
- non-economic impacts (pain, cognitive strain, emotional distress)
But Coralville claims often hinge on details that AI pages commonly overlook:
- commute-pattern facts (e.g., timing, visibility, lane placement, and whether a crash happened during peak traffic)
- how quickly you were evaluated after the head injury
- whether your follow-up care stayed consistent as symptoms evolved
- documentation of functional limitations (sleep disruption, memory issues, difficulty concentrating) that can affect work and daily life
In other words, an AI output may sound precise while using assumptions that don’t match your medical record or the specific Iowa facts of your accident.


