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Author(s):

S.K.M.Shylaja | V. vysyaa | S.Suganthi
Keywords:

Court Assist AI, Legal Document Analysis, Decision Tree, Logistic Regression, NLP, TF-IDF, Streamlit, Legal Knowledge Management, Automated Form Filling.
Abstract:
In Today’s Complex Legal Environment, Individuals Often Struggle To Understand Legal Documents, Their Rights, And Procedural Requirements. This Paper Presents Court Assist AI, An Intelligent Legal Assistant That Leverages Natural Language Processing (NLP) And Machine Learning (ML) Techniques To Analyze, Classify, And Summarize Legal Information. The System Uses Decision Tree And Logistic Regression Models Combined With TF-IDF Vectorization For Accurate Legal Document Classification And Question-answer Prediction. With A Streamlit-based Interactive Interface, Users Can Upload Documents, Query Legal Information, And Receive Simplified Explanations And Automated Form-filling Assistance. Experimental Evaluation Demonstrates That The System Achieves High Accuracy In Legal Text Classification And Provides Contextual Guidance, Significantly Improving Accessibility To Legal Knowledge. Court Assist AI Exemplifies How AI-driven Automation Can Empower Users With Actionable Legal Insights, Reducing Reliance On Professional Intervention For Routine Queries.