An AI estimate is usually built on patterns: what tends to happen in other claims with similar injury types, treatments, and wage loss. That can make a range look reasonable at first glance.
In practice, the biggest problem is that workers’ compensation outcomes depend on the specific evidence in your file—medical records, work status documentation, and how the parties handle disputes. For Woodstock workers, this often shows up in two ways:
- Documentation gaps caused by inconsistent follow-up visits or unclear work restrictions.
- Timeline disputes tied to when symptoms were reported relative to the incident.
An AI tool may not know which of those issues exist in your claim—yet it may still produce a number that assumes the claim is smooth and uncontested.


