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Paris
Phedra. For a European history of legal law
Methodological comparisons and historiographical appraisals
La journée a pour objet de s’interroger sur les manières dont sont menées les recherches en histoire du droit des affaires à travers l’Europe, afin de lancer le programme PHEDRA sur des bases historiographiques et méthodologiques solides.
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Paris
Legal data mining, machine learning and visualization
The aim of the conference is to structure a conversation on both the fundamental and practical issues on legal data mining and machine learning between scientists and professionals from artificial Intelligence, data science, law, and logic. The Legal Data Mining, Machine Learning and Visualization conference will explore the specific technical challenges from data mining and machine learning technique addressing together practical and legal theoretical issues. It is an opportunity for computer scientists to showcase and explore in conversation with lawyers further developments in AI and data-mining applied to the legal domains. Legal academics specializing in the interface of law and AI are given the opportunity to articulate the challenges of automated functions in law including in natural language processing applied to law, information extraction from legal databases and texts and data mining applied for legal analytics.
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