Automatic Advocate Recommendation

Singh, Subham Kumar (2022) Automatic Advocate Recommendation. Masters thesis, Indian Institute of Science Education and Research Kolkata.

Text (MS dissertation of Subham Kumar Singh (17MS020)) 17MS020_Thesis_file.pdf - Submitted Version Restricted to Repository staff only Download (922kB)

Abstract

It isn’t straightforward and challenging to choose an appropriate lawyer for a particular case in today’s world scenarios as many cases, and many advocates are available. People often don’t choose the right lawyer who can lead to outcomes not favorable to them. Advocates are typically involved in various disciplines, making selecting the most appropriate lawyers for a given legal situation challenging. In India, the Bar council prohibits advocates are not conferred with the right to advertise and publicize their work.no advocate can approach a client directly. The client has to reach out to an advocate first. Which led to the need for an automatic method that ranks the most appropriate attorneys for a specific legal scenario is beneficial. One aims to create an automatic advocate recommendation system that can recommend a set of suitable advocates or experts for the user’s legal case. Such system motivation is to eradicate the manual inception of the legal case for experts to find and understand the legal case. In this project, we focused on high court data for a certain number of advocates. The data represent the previously fought cases of the advocates. We try to build a representation of advocates with several methodologies based on these previously fought cases to generate a recommendation list for a legal case and provide top suitable advocates for the legal case.

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