Our AI identifies evidence that can impact liability allocation under Massachusetts' modified comparative negligence system. Because Massachusetts follows the 51% rule where plaintiffs cannot recover if they are 51% or more at fault, our system prioritizes finding evidence that keeps plaintiff negligence below this critical threshold while maximizing the defendant's share of liability.

Our system identifies evidence that helps support your Offer of Proof for the Massachusetts medical malpractice Tribunal. We highlight documentation addressing standard of care, alleged breach, and causation elements that strengthen your submission, ensuring your case meets the "sufficient evidence to raise a legitimate question" threshold to proceed without a bond. Our system is specifically designed to help identify evidence relevant to the Tribunal's unique statutory framework under M.G.L. c. 231, § 60B.

Our AI analyzes medical records to identify key evidence supporting compensability and impairment under Massachusetts' workers' compensation system. We highlight documentation that supports work-relatedness, causal relationship analysis, and evidence relevant to Massachusetts' specific impairment rating approach. The system helps identify evidence supporting temporary total incapacity, partial incapacity, and permanent and total incapacity designations under Massachusetts' workers' compensation laws.

Our AI helps identify key dates within medical records relevant to Massachusetts' statute of limitations provisions. For medical malpractice cases, the system flags evidence related to Massachusetts' unique discovery rule, which starts the three-year statute of limitations when the patient discovers or reasonably should have discovered the injury was caused by medical negligence. The system also identifies documentation relevant to the seven-year statute of repose (except in foreign object cases), ensuring critical timing factors are not overlooked.