Italian Legal Analytics Technology Development Overview

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Explore the development of legal analytics technology in Italian law, including tasks related to legislation, case law, and social data. This project aims to provide tools for identifying methods, models, and algorithms for research purposes, utilizing various technologies such as machine learning, ontologies, and linguistic analysis.

  • LegalTech
  • Analytics
  • Technology
  • Italian Law
  • Development

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Presentation Transcript


  1. LAILA Legal Analytics for Italian LAw Overview of WP 2 Giovanni Sartor UNIBO February 3rd, 2020 Bologna MIUR.AOODGRIC.REGISTRO_PRIN2017.0003015.28-03-2018

  2. WP 2: Legal WP 2: Legal- -technological technological framework framework OBJECTIVE: select and develop LA technologies Task 2: LA for legislation Task 1: Setting the toolbox provide technologies to WP3-WP4 for identify methods, models, algorithms and products forresearch and prototyping purposes tag legislative texts legislative ontologies select, refine and develop solutions automatic classification legislative source It considers different technologies: supervised and unsupervised ML, ontologies, question- answering and prediction synchronic diachronic linguistic analysis formal modelling legislative provisions automatic extraction patterns Kick-off meeting Bologna, February 3rd, 2020

  3. WP 2: Legal WP 2: Legal- -technological technological framework framework OBJECTIVE: select and develop LA technologies Task 4: LA for social data Task 3: LA for case law and transversal domains Methods for WP5 provided technology for WP4 statistical analysis develop ontologies forecast automatic cases classification decision-making detect and classify links and trends Different neural networks will be selected and tested. Arguments modelling (argument mining) Kick-off meeting Bologna, February 3rd, 2020

  4. WP 2: Legal WP 2: Legal- -technological technological framework framework OBJECTIVE: select and develop LA technologies Task 5: Visualization tools provided technology for WP4 developing ontologies automatically classifying cases detecting and classifying and trends Automaticallyarguments (argument mining) Kick-off meeting Bologna, February 3rd, 2020

  5. WP 2: Legal WP 2: Legal- -technological technological framework framework OUTCOMES set of technological tools on the basis of the requirements specified in WP3-WP5 tools updated and refined during the project Kick-off meeting Bologna, February 3rd, 2020

  6. WP 2: UNIBO Team WP 2: UNIBO Team WP Leader: UNIBO Responsible: Giovanni Sartor CS & Engineering AI & Law Giuseppe Contissa Francesco Godano Federico Galli Francesca Lagioia Giovanni Sartor Roberta Calegari Giovanni Ciatto Andrea Loreggia Andrea Omicini Kick-off meeting Bologna, February 3rd, 2020

  7. WP 2: Plan WP 2: Plan WP2: Legal-technological framework T1: Setting the toolbox mar-20 apr-20 may-20 jun-20 jul-20 aug-20 sep-20 oct-20 nov-20 dec-20 gen-21 feb-21 mar-21 aug-22 T2: LA for legislation T3: LA for case law and transversal domains T4: LA for social data T5: Visualization tools Kick-off meeting Bologna, February 3rd, 2020

  8. Q & A

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