We do applied research and develop AI and analytics applications for the legal industry, dispute resolution and negotiation specialists. We have assembled a team of researchers from Management Sciences, Operations Management, Marketing, Information Systems, Finance, Business Economics and Computing Science.

Analytics Applications

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Competition Analytics

A data analytics platform for lawyers, corporate counsels and regulators aimed at facilitating cartel screening and enhancing the judicial decisions predictability (EU and US).
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Customer Disputes

Using Natural Language Processing technology to build a database on customer disputes (claims, complaints, and past solved disputes) and develop predictive models and data-driven dispute resolution tools for the banking and hospitality sectors.
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Employment Disputes

Analytics-based dispute resolution platform aimed at facilitating negotiation and dispute settlements between employer and employee (calculation of reasonable notice, wrongful dismissal compensation, reskilling programs). 
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AI-Powered Tribunal for Small Claims

A four-step (pre-trial analytics-negotiation-mediation-adjudication) Online Dispute Resolution platform coupled with an analytics system at the outset of the process aimed at providing a degree of legal help as well as assisted negotiation support for self-represented litigants. View presentation
 
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Trademark Law

Using pattern recognition to assess the likelihood of confusion between brands.
 
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ODR Analytics

Application of text analytics to ODR can improve efficiency, explore the chances of winning a case, but also to reveal trends and patterns in past negotiations or mediations that inform judicial strategies. Specifically, a series of potential “algorithm-mediated” solutions can be offered to the parties as an alternative to protracted and expensive arbitration or litigation.
 
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Settlement Analytics

Data mining settlement and mediation agreements (employment and consumer disputes). Reveal trends in settlement agreements.