Abstract
Maxime Cohen, Samuel Dahan, and Colin Rule explore how data science research sheds new light on dispute resolution, whether it be for a customer, insurance, trademark, or employment dispute. They argue that data-driven models must be trained using both legal cases and negotiation data. They also review the current limitations of data science in the legal field, where outcomes are not always predictable.
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