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Optimalex And ALM’s VerdictSearch Offer Users Legal Predictive Analytics On Medical Malpractice


New York, NY. December 1st, 2022

Optimalex is pleased to announce it has entered into a partnership with ALM’s VerdictSearch to offer VerdictSearch users access to Optimalex's suite of technology solutions for legal predictive analytics. Specifically, both companies will work to create a version of Optimalex’s Agatha based on VerdictSearch’s data in the field of Medical Malpractice. 

Optimalex Founder Frank Giaoui said of the relationship, “We are honored by the trust put in us by VerdictSearch, and are delighted to collaborate with them on our journey from data to prediction. We believe this collaboration will be mutually beneficial for both parties and their clients.”

ALM Vice President & General Manager, Global Legal News Richard Caruso also reacted: “We are highly enthusiastic to begin this partnership with an innovative company like Optimalex. The combined forces of VerdictSearch’s data and Optimalex’s predictive expertise will provide our users with new value.”

About ALM 

ALM, an information and intelligence company, provides customers with critical news, data, analysis, marketing solutions and events to successfully manage the business of business. ALM serves a community of over 6 million business professionals seeking to discover, connect and compete in highly complex industries. Please visit for more information, and visit to learn about our upcoming events. Please follow us on Twitter at @ALMGlobal_.

About Optimalex 

Optimalex combines practical business experience, academic law & economics research, and data & software engineering development. Its suite of legal predictive solutions analyzes settlements and legal decisions by quantifying damages compensation through cutting-edge machine learning and natural language processing techniques. Optimalex’s flagship solution, AGATHA, provides predictive analytics to stakeholders in order to strategize their optimal outcomes, resulting in improved efficiency, consistency, and fairness. Please follow us on our LinkedIn.

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