2022-09-27 15:30 - 17:00 TBD
This talk will explore the way in which we can assess the reliability of legal technologies (e.g., prediction of judgments outcomes).
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Mireille Hildebrandt (introduction), PI of the ERC ADG project on ‘Counting as a Human Being in the Era of Computational Law’ (COHUBICOL) and presented by three of the project’s senior researchers: Laurence Diver, Pauline McBride and Masha Medvedeva.
Title: How to assess legal technologies?
Abstract: In the context of research into computational legal technologies we have built a typology of ’legal techs’. We will present the typology and explain how it maps different types of ’techs’, such as legal search (with help of e.g. natural language processing), prediction of judgments (with help of machine learning) and instruments to represent, draft and execute legislation (with help of domain specific programming languages and other tools). The typology goes further than a simple mapping exercise, it also raises two key questions: (1) what claims are made by developers or vendors on behalf of the functionality of the system? and (2) to what extent can these claims be substantiated, from both a legal and a technical perspective, based on the information shared by developers and vendors? The second question aims to provide a dedicated vocabulary and grammar (from the domains of machine learning and software development) to better situate the relevant technologies, including their limitations.