Expert System Development for Law Firm Using Information and Communication Technology in Indonesia

Information technology has changed the order of business and industry, including the legal services industry. This change requires law firms to be more creative and innovative in implementing legal processes in the development of information and communications technologies. To survive, a law firm cannot rely on its strengths in reputation and service quality only but also needs to consider the strength in using technology tools. The purpose of this study is to map the need for expert system development in law firms as an effort to deliver an effective and efficient legal process. The method used in this research was the normative legal method with a statute approach and conceptual approach. The results of this study were expected to provide an overview of the modern law firm structure model based on information technology. The results of the study showed that to anticipate changes to the demand for efficiency and the encouragement of regulations related to the use of information technology both in the judicial system and in registration statement processing procedures a law firm must adapt and develop information technology as the basis for the legal process. The stages of development begin with the development of Knowledge Management Technology based on Knowledge Management Systems. The next stage is the development of expert systems in the form of diagnostic systems, planning systems, procedural systems, intelligent checklists, document modelling systems, and argument generation systems. Keywords: Law firm; ICT; legal services industr

Legal knowledge engineering: Computing, logic and law

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Expert systems within taxation: Competencies for employees

Expert Systems (ES) is increasing its importance, impacting not only personal life but also professional life and its workplace. With ES's growing impact on tax areas, tasks of tax practitioners will change and progress. In addition to financial, legal and tax knowledge, these workers will need to develop and apply technical and analytical knowledge for the use of ES. This research proposal proposes to study the relationship between the presence of ES in taxation and the skills that the labour market imposes. The aim of this study is not only to identify the skills required for technological work within taxation, but also to build and validate a model that contributes to an improvement in the ability to predict workers' ability to adapt to new work demands.info:eu-repo/semantics/publishedVersio

Semantic keyword search for expert witness discovery

In the last few years, there has been an increase in the amount of information stored in semantically enriched knowledge bases, represented in RDF format. These improve the accuracy of search results when the queries are semantically formal. However framing such queries is inappropriate for inexperience users because they require specialist knowledge of ontology and syntax. In this paper, we explore an approach that automates the process of converting a conventional keyword search into a semantically formal query in order to find an expert on a semantically enriched knowledge base. A case study on expert witness discovery for the resolution of a legal dispute is chosen as the domain of interest and a system named SKengine is implemented to illustrate the approach. As well as providing an easy user interface, our experiment shows that SKengine can retrieve expert witness information with higher precision and higher recall, compared with the other system, with the same interface, implemented by a vector model approach

Legal paternalism and the identity of Polish legal culture

The project was financed by National Science Centre Poland (decision no. DEC-2012/05/B/HS5/01111)

Semantic keyword search for expert witness discovery

In the last few years, there has been an increase in the amount of information stored in semantically enriched knowledge bases, represented in RDF format. These improve the accuracy of search results when the queries are semantically formal. However framing such queries is inappropriate for inexperience users because they require specialist knowledge of ontology and syntax. In this paper, we explore an approach that automates the process of converting a conventional keyword search into a semantically formal query in order to find an expert on a semantically enriched knowledge base. A case study on expert witness discovery for the resolution of a legal dispute is chosen as the domain of interest and a system named SKengine is implemented to illustrate the approach. As well as providing an easy user interface, our experiment shows that SKengine can retrieve expert witness information with higher precision and higher recall, compared with the other system, with the same interface, implemented by a vector model approach