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For Immediate Release · March 28, 2026

MedMalPredict Unveils the Hooper Engine™

A New Standard of Care in Medical-Legal AI

MANCHESTER, CT — MedMalPredict, the leader in medical malpractice predictive analytics, today announced the launch of the Hooper Engine. This proprietary AI framework is designed to move beyond traditional case valuation by identifying the gap between "industry custom" and the modern "standard of care."

Named after the landmark legal principle that redefined professional accountability, the Hooper Engine operates on the core belief that following common practice is not a valid defense if superior, available safety technology is ignored. In an era where medical data and diagnostic tools are evolving at an unprecedented pace, the Hooper Engine provides legal and medical professionals with a "reasonableness" benchmark that traditional legacy systems lack.

"In the same way a physician is held to the highest standard of available diagnostic tools, the legal community must now be held to a higher standard of risk analysis," said the founder of MedMalPredict. "The Hooper Engine ensures our users aren't relying on 'lagging industry standards.' We are providing the modern 'radio' for a field that has been operating in the dark for too long."

Key Features of the Hooper Engine™ include:

  • Prudence Benchmarking: Analyzes case facts against the highest available safety standards, rather than just local "customary" habits.

  • Technology Gap Analysis: Identifies instances where the failure to adopt known medical technologies constitutes a breach of duty.

  • Predictive Liability Scoring: Utilizes historical medical-legal precedents to forecast how a jury will view a "custom-based" defense in the modern era.

The Hooper Engine is now live and integrated into the MedMalPredict platform, offering an essential resource for law firms, insurance carriers, and healthcare risk managers who seek to align their strategy with the future of medical jurisprudence.

About MedMalPredict AI

MedMalPredict AI is an AI-powered medical malpractice outcome prediction platform. Trained on more than 220,000 historical cases from publically trusted data repositories spanning the last 20 years, the platform delivers instant payment probability, payout range, and outcome severity predictions for medical malpractice cases across all 50 US states and DC. MedMalPredict is used by plaintiff attorneys, defense counsel, insurance carriers, and patients evaluating case value. Learn more at medmalpredict.com.

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