Our AI identifies evidence that helps establish full liability on the defendant under Virginia's pure contributory negligence doctrine. Virginia is one of the few states that follows this strict system, where a plaintiff who is found to be even 1% at fault is completely barred from recovery (Coutlakis v. CSX Transportation, Inc., 293 Va. 212 (2017)). Our system analyzes medical records to identify documentation that can help overcome this hurdle by establishing that the defendant bears 100% of fault. We highlight medical evidence that can disprove allegations of plaintiff negligence, such as documentation showing the plaintiff's physical condition did not contribute to the incident, or evidence showing full compliance with medical advice. The analysis identifies timeline inconsistencies that may help counter contributory negligence claims and focuses on evidence that strengthens causation arguments linking the defendant's actions directly to the plaintiff's injuries. Our system is also trained to identify documentation relevant to the "last clear chance" doctrine, an important exception to contributory negligence in Virginia, which allows recovery if the defendant had the last clear opportunity to avoid the accident but failed to do so, even if the plaintiff was negligent.

Our system identifies evidence that helps support medical malpractice claims under Virginia's healthcare liability laws. Virginia imposes a cap on damages in medical malpractice cases, currently set at $2.45 million (§ 8.01-581.15), which increases annually until 2031. Our AI helps identify and organize evidence to maximize recovery within this cap by properly categorizing economic and non-economic damages. Virginia offers an optional Medical Malpractice Review Panel (§ 8.01-581.1 et seq.), and our system helps identify evidence that can be effectively presented to this panel if that route is chosen. Virginia requires expert certification prior to filing suit in most medical malpractice cases, and our analysis helps identify medical evidence to support this certification. Virginia has a 2-year statute of limitations for medical malpractice cases, with a discovery rule that extends to a maximum of 10 years from the date of injury, and our system helps identify evidence relevant to these timeframes to support timeliness arguments. Virginia also follows the "locality rule" for standard of care, requiring comparison to healthcare providers in the same or similar localities, and our system is trained to highlight evidence relevant to this Virginia-specific standard of care analysis. Additionally, our AI identifies documentation that helps differentiate between ordinary negligence and professional medical negligence, which can be crucial in determining whether the medical malpractice cap applies.

Our AI analyzes medical records to identify key evidence supporting compensability under Virginia's Workers' Compensation Act (Title 65.2). We highlight documentation that supports the causal connection between work activities and the injury or illness, focusing on the critical "arising out of and in the course of employment" standard required under Virginia law. In Virginia, the "arising out of" component requires showing that the employment contributed to the injury, following the "actual risk" doctrine, which is more stringent than the positional risk doctrine followed in some states. Our system identifies medical evidence that helps establish this causation requirement. For repetitive trauma injuries, which are generally not compensable in Virginia unless they fall under a specific statutory exception, we help identify evidence that may support classification as a compensable condition. The AI also identifies evidence relevant to Virginia's specific categories of benefits, including temporary total disability, temporary partial disability, permanent partial disability for scheduled injuries, and lifetime medical benefits. Virginia uses the AMA Guides to the Evaluation of Permanent Impairment (6th Edition) for determining impairment ratings for scheduled injuries, and our system helps identify medical evidence that supports appropriate ratings under these guidelines. Additionally, we help identify evidence supporting the compensability of psychological injuries, which in Virginia must be caused by a physical injury or sudden shock or fright in order to be compensable (the "physical impact rule").

Yes, our AI helps identify and organize evidence relevant to Virginia's approach to damages, which has several unique features. For medical malpractice cases, Virginia imposes a cap on total damages (currently $2.45 million with annual increases until 2031), and our system helps categorize evidence to maximize recovery within this cap. For general personal injury cases, Virginia does not cap compensatory damages, allowing for full recovery of both economic and non-economic damages when properly supported by evidence. Our system helps identify and categorize all potential damages to maximize recovery, including medical expenses, lost income, loss of earning capacity, pain and suffering, and inconvenience. Virginia recognizes the "collateral source rule," allowing plaintiffs to recover the full value of medical expenses regardless of insurance payments or write-offs, and our analysis helps identify evidence to support the full value of medical services. Virginia also limits punitive damages to $350,000 (§ 8.01-38.1), and our system helps identify evidence in medical records that may support punitive damages claims in cases involving willful or wanton conduct. In wrongful death cases, Virginia allows statutory beneficiaries to recover for sorrow, mental anguish, and solace, as well as reasonably expected loss of income, services, protection, care, and assistance (§ 8.01-52), and our analysis can identify medical evidence supporting these damages.

Our AI is specifically trained to identify and highlight evidence that meets Virginia's unique documentation requirements across various practice areas. In personal injury cases, given Virginia's contributory negligence system, we help identify evidence that fully establishes defendant liability and disproves any plaintiff fault. For medical malpractice cases, Virginia requires expert certification before filing suit, and our system helps identify medical records and evidence that can support this certification from qualified experts. For healthcare providers, Virginia follows the "locality rule" for standard of care determinations, comparing providers to those in the same or similar communities, and our analysis helps identify evidence relevant to this specific standard. In workers' compensation cases, we help identify evidence supporting compensability under Virginia's "actual risk" doctrine, which requires showing that the employment exposed the worker to the particular danger causing injury. For occupational diseases, Virginia requires clear and convincing evidence that the disease arose out of and in the course of employment (a higher standard than for injuries), and our system helps identify strong medical evidence to meet this elevated burden. Virginia also has specific documentation requirements for psychological injuries, requiring evidence of a physical injury or sudden shock or fright causing the psychological condition, and our analysis helps identify medical documentation supporting this connection. Additionally, our system assists with identifying evidence supporting ongoing disability and the need for continued medical treatment, which is crucial for Virginia's lifetime medical benefits in workers' compensation cases.