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Exploring Trial Courts Legal Databases: Part 2 – Length of legal documents

blog, Exploration / Di

Another important aspect of the Exploratory Data Analysis (EDA) phase conducted on text data is the statistics, which help to understand the data clearly, before employing them to train a Machine Learning (ML) model. One of the simplest statistics is the average length of the documents, which is calculated by summing up the number of …

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Data Compliance, Algorithm Governance and Normative Science

Data Compliance, Algorithm Governance and Normative Science. China – Italy Cooperative Research Dialogue

blog, Events / Di

#savethedate Saturday 10.04.2021 11 am – 2.30 pm CET – Data Compliance, Algorithm Governance and Normative Science. China – Italy Cooperative Research Dialogue Co-organization: China Institute for Socio – Legal Studies (CISLS), AI Governance and Law Center, Shanghai Jiao Tong University and Lider Lab, Sant’Anna School of Advanced Studies (SSSA) Clich here for the Webinar https://zoom.com.cn/j/65478788807 ID: 65478788807Code: …

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Italian French comparative remarks

Predictive Justice and personal injury damages: Italian French comparative remarks

blog, Events / Di

#savethedate Friday 23.4.2021 17-19 CET – Predictive Justice and personal injury damages: Italian French comparative remarks. The webinar addresses the challenges emerging within the Italian and French debates on predictive justice. In particular, ML techniques applied to personal injury damages case-law will be discussed by scholars and judges within a multilanguage dialogue where speakers are free to intervene …

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Preparing Legal Data for Analysis

blog, ETL / Di

Legal data comes in different formats (and may be structured, semistructured, or unstructured) are too heterogeneous to be directly usable by scientists, and then they need to be blended, transformed and cleaned before generating new scientific insights. Court legal databases primarily contain a large collection of unstructured data (PDF documents).  These data contain explanations of …

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