Bonfring International Journal of Industrial Engineering and Management Science

Online ISSN: 2277-5056 Print ISSN: 2250-1096 Frequency: 4 Issues/Year

Impact Factor: 0.541 | International Scientific Indexing(ISI) calculate based on International Citation Report(ICR)

Organizing the Case and Contact Details for Law Firms Using Barrister Groupware with Support Vector Machine

Huian and Adler


Abstract
Barrister Groupware is a kind of all-in-one, easy to use solution that is being designed specifically for law firms. Even in the scenario of reviewing a company?s balance sheet, negotiating terms and conditions with the client or drafting a contract, Barrister Groupware will effectively organize the case and contact details, organize the documents and keep us on top of all our cases and deadlines. A most common and robust machine learning technique, Support Vector Machine (SVM) is employed in this application, which facilitates more enhanced understanding of user search pattern, by this means exponentially improving the common search mechanism achieved through indexing. At the same time as the parameters in SVM are not predefined, real time data allows the application to better understand the judgment pattern, and in that way forecast all possible judgments that the on-going case may have.
Keywords
Volume 7
Issue 2
Pages 32-34
Issue Date May , 2017
Full Text
Open Access
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