This article deals with the qualitative approach to empirical studies. This approach is presumed to be closer to the social sciences. Data collection in the qualitative approach follows a combination of these three methods—direct observations, in-depth interviews, and document analysis. It typically starts with the identification of methodology, data collection, analysis, ethical concerns, and adapt to the dynamics if working in a team. Well-compiled qualitative research enhances comprehensibility of social phenomenon. The technique used in the selection of data collection depends (...) on the research question, leading to the research strategy that best fits the research objective, availability/access to particular data sources, and available resources. While various beliefs are held in common between the quantitative and the qualitative, a researcher must first assert the purpose and nature of the project, in order to come to a deterministic conclusion as to which approach is best suited for the research to be conducted. (shrink)

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 is the first of a new breed of preliminary solutions capable of application across all aspects, from legislation to practice; and capable of accelerating development of legal AI. (shrink)

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This article is currently available as a free download on ingentaconnect.