SmaRT Visualisation of Legal Rules for Compliance (original) (raw)

Introduction to Legal Visualization

2018

The law appears in legal texts and in typed legal situations. Textuality began to dominate with the reception of Roman law. The advancement of socially and legally used machines will decrease the importance of textuality and increase that of legal programming. Legal visualization fits this trend. The peculiarities of law form an object of visualization. Legal texts are in an abstract frame, which is not linguistically structured. Besides the types of legal situations, the pre-textual interdependencies of legal terms should be made visible. Situations can be governed by legal machines.

Structural Legal Visualization

Informatica, 2015

This paper investigates an approach which is called structural legal visualization (SLV). It is about diagrammatical views which facilitate comprehension of the meaning of legal contents. Complexity reduction is a motive. An issue is the complexity of the entire legal system and the layman's limited ability to understand legal institutions and the millions of documents. A sequence of views in SLV can be compared with a narrative. SLV differs from information visualization and knowledge visualization. SLV relates to a scenario-centered graphical narrative rather than information display or user interfaces. SLV is about the generation (synthesis) of diagrams. The sequence of images depends on the user's goals. Different pathways through the informational space are concerned. With respect to an object's change or non-change, two variations of SLV are identified: dynamic SLV and static SLV. The latter is divided into two: incremental SLV and alternate focuses SLV.

Visualization of Legal Informatics

Frontiers in Artificial Intelligence and Applications

This paper explores the subject matter of legal informatics. The life-long work of the first author concerning the visualization and coding of statutes is generalized. Besides positive law and customary law, the emergence of machine law is a current topic of focus in the literature. In machine law, legal acts are posited by machines and not by humans (primarily in a situational context). The transformation of a legal act to a legal document can happen in two ways. First, it is a transformation of the legal act into explicit punctuation, for example, for announcement in the case of laws or for written execution in the case of judgments, and, second, as a trend towards electronic documents. Legal theory forms a meta-level to the law and similarly legal informatics forms a meta-level to legal information. Legal informatics in Austria is based on the work of Ota Weinberger, Ilmar Tammelo and Leo Reisinger and has been developed by Erich Schweighofer in the framework of the IRIS conferen...

Representing visual conditions in a legal knowledge based system

1993

Abstract Legal KBSs are based on knowledge contained in legal texts such as legislation, regulations and case histories and the practice of domain experts charged with operationalising this legislation. Legal texts and their opertionalisation can be analysed using textual analysis tools which lead to the production of a rule base which can be manipulated to establish a desired goal.

Lawmaps: enabling legal AI development through visualisation of the implicit structure of legislation and lawyerly process

Artificial Intelligence and Law, 2022

Modelling that exploits visual elements and information visualisation are important areas that have contributed immensely to understanding and the computerisation advancements in many domains and yet remain unexplored for the benefit of the law and legal practice. This paper investigates the challenge of modelling and expressing structures and processes in legislation and the law by using visual modelling and information visualisation (InfoVis) to assist accessibility of legal knowledge, practice and knowledge formalisation as a basis for legal AI. The paper uses a subset of the well-defined Unified Modelling Language (UML) to visually express the structure and process of the legislation and the law to create visual flow diagrams called lawmaps, which form the basis of further formalisation. A lawmap development methodology is presented and evaluated by creating a set of lawmaps for the practice of conveyancing and the Landlords and Tenants Act 1954 of the United Kingdom. This paper...

LawV: Towards an Ontology-based Visual Modeling Language in the Legal Domain

CEUR Proceedings, 2020

There has been an increase use of Domain-Specific Visual Modeling Language (DSVML) as a means of improving models' comprehensibility and, consequently, stakeholders' productivity. Combining the benefits of DSVMLs and of an ontological approach for designing and evaluating DSVMLs, we present, in this paper, the first-steps towards an ontology-based DSVML in the legal domain called LawV. The main purpose of LawV is to provide for a visual symbolic representation for legal statements. LawV has been built by applying an ontology-based language engineering method called PoNTO-S and UFO-L, a legal core ontology. To evaluate LawV, we instantiate a judicial case selected from the database of Appeal Court of the EspĂ­rito Santo State in Brazil.

Draft paper to IRIS 2009. Title: Distinguishing between knowledge visualization and knowledge representation in legal informatics. File 20090418-IRIS-Cyras.pdf

Knowledge visualization (KV) and knowledge representation (KR) are distinguished, though both are knowledge management processes. Knowledge visualization is subject to humans, whereas knowledge representationto computers. In computing, knowledge representation leverages reasoning of software agents. Thus, KR is a branch of artificial intelligence. The subject matter of KR is representation methods. They are classified into (1) knowledge level and symbol level representations; (2) procedural and declarative representations; (3) logic-based, rule-based, frame-or object-based representations (supporting inference by inheritance); and (4) semantic networks. In legal informatics, methods of legal knowledge representation (LKR) are dealt with. An essential feature of LKR is the representation of deep knowledge, which is mainly tacit. It is easily understood by professional jurists and hardly by amateurs from outside law. This knowledge comprises the teleology of law and a whole implicit framework of legal system. The paper focuses on (1) identifying key features of KV and KR in the legal domain; and (2) distinguishing between visualization, symbolization, formalisation and mind mapping.

Tools for the Visualization of Definition Networks in Legal Contracts Research

2013

This paper describes the development of prototype software-based tools for visualizing definitions within legal contracts. The tools demonstrate visualization techniques for enhancing the readability and comprehension of definitions and their associated characteristics. This contributes to more accurate and efficient drafting or reading of contracts through the exploration of the meaning and use of definitions including via word clouds, multilayer navigation, adjacency matrix and graph tree representations.

Towards Multidimensional Rule Visualizations

Law and Philosophy Library, 2014

This paper reviews visualizations in legal informatics. We focus on the transition from traditional rule-based linear textual representation such as "if A then B" to twoand threedimensional ones and films. A methodology of visualization with the thought pattern of tertium comparationis can be attributed to Arthur Kaufmann. A tertium visualization aims at a mental bridge between different languages. We explore how visualizations are constructed and what types can be found here. Review criteria comprise comprehension, relations, vertical-horizontal arrangement, time-space structure, the focus of attention, education, etc. Pictures for review are selected from JURIX 2012 proceedings. We conclude that making visualizations as avant-garde as JURIX projects themselves is a tough task that requires knowledge of law, computing, media and semiotics.

Legal Interpretation by Computer: A Survey of Interpretative Rules

Akron Intellectual Property Journal, 2011

Abstract: The common law admits a number of methods of legal interpretation. Legal methods of interpretation are essentially computable functions capable of being expressed through mathematical algorithms. However the common law generally does not explicitly denominate the relative hierarchical positions of different methods of interpretation. This article limits itself to sketching the various methods of legal interpretation of the common law and representing them computationally in a computer program to prove the first ...