AI tools can be useful for organization—like drafting a symptom timeline or turning your questions into a checklist for your doctor. But when it comes to legal risk, automated guidance can fall short.
For example, many Newburgh residents first learn about safety concerns after a doctor visit or a hospital stay. At that point, the details that matter most—dose changes, the exact dates symptoms started, other medications you were taking, and what clinicians documented—are often scattered across records. A chatbot can’t verify whether your pharmacy records match the product you believe caused the injury, and it can’t evaluate how your facts fit the legal standard needed to support a claim.
The result: people sometimes spend time chasing the wrong issue or omit the evidence that actually drives liability and causation.


