Most AI tools work like a questionnaire: you enter injury details, treatment timing, and losses, and the program returns a rough range.
That can be useful for understanding categories of damages, but it often misses what matters most in real Leeds cases, such as:
- Whether liability is shared (driver error vs. trucking company practices)
- Whether medical records support causation (injuries that worsen after the crash are common, but insurers still contest timing)
- Whether the crash occurred in a way that creates complex fault (turns, merging, and lane changes on busier routes)
- Whether documentation is complete (gaps between ER visits, follow-ups, and specialist care can reduce leverage)
An AI tool can’t review the police report, compare treatment notes to symptom progression, or evaluate how Alabama insurers typically respond when trucking records are requested.


