Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/3281
Title: LAWSUP - A Smart Platform to Assist Stakeholders of Business Law
Authors: Sulakshi, U L H
Opatha, S D
De Silva, K S D
Sandeepa, M M A D N
Nawinna, D
Harasgama, H
Gamage, N
Keywords: Smart Platform
Assist Stakeholders
Business Law
LAWSUP
Issue Date: 9-Dec-2022
Publisher: IEEE
Citation: U. L. H. Sulakshi et al., "LAWSUP - A Smart Platform to Assist Stakeholders of Business Law," 2022 4th International Conference on Advancements in Computing (ICAC), Colombo, Sri Lanka, 2022, pp. 411-416, doi: 10.1109/ICAC57685.2022.10025137.
Series/Report no.: 2022 4th International Conference on Advancements in Computing (ICAC);
Abstract: Corporate law, sometimes known as business law, is the body of law that governs the rights, relationships, and behavior of persons, corporations, organizations, and businesses. Business Organizations, employees/laborers, and the public are involved in this area of the law accompanying lawyers, and legal advisors. Business organizations need legal advice. Employees face many difficulties and injustices at their workplaces. People who wish to start a new business, search for legal guidance. When one of these parties needs support, they must seek a lawyer, go to the lawyer, and get legal support. When delivering legal support to clients, lawyers are still going through a manual process. There are very few systems that have been implemented for the law domain so far, and those only search engine types of systems that are unable to support every stakeholder of this domain. There is no common platform for all these stakeholders to find solutions, connect with a good lawyer and get support. We have identified the main issues faced by business organizations, employees that need legal support, the general public, and lawyers, and developed a web solution by implementing Machine Learning, Classification Algorithms, Text mining, Natural Language Processing, and Web Crawlers.
URI: https://rda.sliit.lk/handle/123456789/3281
ISSN: 979-8-3503-9809-0
Appears in Collections:4th International Conference on Advancements in Computing (ICAC) | 2022
Department of Computer Systems Engineering
Research Papers
Research Papers - Dept of Computer Systems Engineering
Research Papers - SLIIT Staff Publications
School of Law

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