Abstract :

The AI-Driven Research Engine For Commercial Courts Is An Intelligent Legal Research System Designed To Improve The Efficiency And Accuracy Of Retrieving Legal Information Related To Commercial Court Cases. Traditional Legal Research Relies On Manual Keyword-based Searches, Which Are Time-consuming And Often Produce Irrelevant Results. The Proposed System Utilizes Artificial Intelligence (AI), Natural Language Processing (NLP), And Machine Learning (ML) To Understand The Context Of User Queries And Retrieve The Most Relevant Judgments, Statutes, And Legal Precedents. It Supports Semantic Search, Intelligent Document Ranking, Automated Case Summarization, And Recommendation Of Similar Cases, Enabling Users To Conduct Legal Research More Effectively. The System Is Developed Using Python, Flask/Django, HTML, CSS, JavaScript, And MySQL, With NLP Libraries For Legal Text Processing. By Reducing Research Time And Improving The Relevance Of Search Results, The Proposed Platform Enhances Legal Decision-making And Supports Judges, Advocates, Legal Researchers, And Law Students In Efficiently Accessing Commercial Court Information. KEYWORDS: Artificial Intelligence (AI), Commercial Courts, Legal Research, Research Engine, Natural Language Processing (NLP), Machine Learning (ML), Semantic Search, Information Retrieval, Legal Document Analysis

Published:

05-8-2026

Issue:

Vol. 26 No. 8 (2026)

Page Nos:

609 - 616

Section:

Articles

License:

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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