The legal macroscope: Experimenting with visual legal analytics

This work presents Knowlex, a web application designed for visualization, exploration, and analysis of legal documents coming from different sources. Understanding the legal framework relating to a given issue often requires the analysis of complex legal corpora. When a legal professional or a citizen tries to understand how a given phenomenon is disciplined, his attention cannot be limited to a single source of law but has to be directed on the bigger picture resulting from all the legal sources related to the theme under investigation. Knowlex exploits data visualization to support this activity by means of interactive maps making sense out of heterogeneous documents (norms, case law, legal literature, etc.). Starting from a legislative measure (what we define as Root) given as input by the user, the application implements two visual analytics functionalities aiming to offer new insights on the legal corpus under investigation. The first one is an interactive node graph depicting relations and properties of the documents. The second one is a zoomable treemap showing the topics, the evolution, and the dimension of the legal literature settled over the years around the norm of interest. The article gives an overview of the research so far conducted presenting the results of a preliminary evaluation study aiming at evaluating the effectiveness of visualization in supporting legal activities as well as the effectiveness of Knowlex, the usability of the proposed system, and the overall user satisfaction when interacting with its applications.

[1]  Ginevra Peruginelli,et al.  Annotation schema for legal doctrine: a case study on DoGi database , 2013 .

[2]  E. Francesconi,et al.  A URN Standard for Legal Document Ontology : a Best Practice in the Italian Senate , 2010 .

[3]  James R. Lewis,et al.  IBM computer usability satisfaction questionnaires: Psychometric evaluation and instructions for use , 1995, Int. J. Hum. Comput. Interact..

[4]  Vittorio Scarano,et al.  How Increased Awareness Can Impact Attitudes and Behaviors toward Online Privacy Protection , 2013, 2013 International Conference on Social Computing.

[5]  Eric Lecolinet,et al.  Browsing Zoomable Treemaps: Structure-Aware Multi-Scale Navigation Techniques , 2007, IEEE Transactions on Visualization and Computer Graphics.

[6]  Andrew Vande Moere,et al.  The Effect of Aesthetic on the Usability of Data Visualization , 2007, 2007 11th International Conference Information Visualization (IV '07).

[7]  Renate Fruchter,et al.  Finding and Understanding Reusable Designs from Large Hierarchical Repositories , 2006, Inf. Vis..

[8]  Gem Stapleton,et al.  How Should We Use Colour in Euler Diagrams? , 2014, VINCI '14.

[9]  Ivan Herman,et al.  Graph Visualization and Navigation in Information Visualization: A Survey , 2000, IEEE Trans. Vis. Comput. Graph..

[10]  Kristin A. Cook,et al.  Illuminating the Path: The Research and Development Agenda for Visual Analytics , 2005 .

[11]  Yang Wang,et al.  Why Johnny can't opt out: a usability evaluation of tools to limit online behavioral advertising , 2012, CHI.

[12]  Mary Czerwinski,et al.  Design Study of LineSets, a Novel Set Visualization Technique , 2011, IEEE Transactions on Visualization and Computer Graphics.

[13]  Pak Chung Wong,et al.  Visual Analytics , 2004, IEEE Computer Graphics and Applications.

[14]  Andrew Fish,et al.  Visual Exploration System in an Industrial Context , 2016, IEEE Transactions on Industrial Informatics.

[15]  Nicola Lettieri,et al.  Walking Finelines between Law and Computational Social Science , 2013 .

[16]  Julia Bauder,et al.  Exploratory Subject Searching in Library Catalogs: Reclaiming the Vision , 2015 .

[17]  S. Shapiro,et al.  An Analysis of Variance Test for Normality (Complete Samples) , 1965 .

[18]  Kent L. Norman,et al.  Development of an instrument measuring user satisfaction of the human-computer interface , 1988, CHI '88.

[19]  Edson Oliveira,et al.  Dico: A Conceptual Model to Support the Design and Evaluation of Advanced Search Features for Exploratory Search , 2015, INTERACT.

[20]  Katy Börner,et al.  Visual Insights: A Practical Guide to Making Sense of Data , 2014 .

[21]  Gary Marchionini,et al.  Exploratory search , 2006, Commun. ACM.

[22]  Vittorio Scarano,et al.  A Tailorable Infrastructure to Enhance Mobile Seamless Learning , 2015, IEEE Transactions on Learning Technologies.

[23]  Harry Hochheiser,et al.  Research Methods for Human-Computer Interaction , 2008 .

[24]  Nicola Lettieri,et al.  Computational Social Science and its Potential Impact upon Law , 2012, Eur. J. Law Technol..

[25]  L. Cronbach.  Coefficient alpha and the internal structure of tests , 1951 .

[26]  Tim Dwyer,et al.  Untangling Euler Diagrams , 2010, IEEE Transactions on Visualization and Computer Graphics.

[27]  Ilkka Korhonen,et al.  Implementation and user testing of a system for visualizing continuous health data and events , 2016, 2016 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI).

[28]  Nasser M. Nasrabadi,et al.  Pattern Recognition and Machine Learning , 2006, Technometrics.

[29]  Amarnath Gupta,et al.  Visual information retrieval , 1997, CACM.

[30]  Ben Shneiderman,et al.  The eyes have it: a task by data type taxonomy for information visualizations , 1996, Proceedings 1996 IEEE Symposium on Visual Languages.

[31]  Diogo Cabral,et al.  Designing for Exploratory Search on Touch Devices , 2015, CHI.

[32]  John T. Stasko,et al.  An evaluation of space-filling information visualizations for depicting hierarchical structures , 2000, Int. J. Hum. Comput. Stud..

[33]  Lee Loevinger,et al.  Jurimetrics--The Next Step Forward , 1949 .

[34]  Fred D. Davis.  Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology , 1989, MIS Q..