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@article{196540,
        author = {P. Srujana and E. Akshaya and G. Nandini and Dr. M. Sowmya},
        title = {LegalMind: An AI and Machine Learning Based Platform for Legal Document Summarization, Law Retrieval, and Case Outcome Prediction},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {4947-4952},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=196540},
        abstract = {Legal documents, including judgments, contracts, and various case files, can often be complex and lengthy, resulting in difficulties when trying to comprehend or evaluate these document types. The proposed system LegalMind is a new development of an AI/Machine Learning-based platform that will greatly simplify the processing of legal documents. LegalMind is an intelligent system that uses Natural Language Processing (NLP) techniques and applies various models such as BERT, Sentence-BERT, and Random Forest, which will allow for the performance of functions such as document summarization, law retrieval, case similarity search, contract clause detection and predictions regarding case outcomes.
The design of LegalMind is to allow input through the text, document and audio input methods. The input will then pass through several layers of processing allowing the generation of valuable output in the form of summation, relevant legal references, and/or predictions. LegalMind has produced experimental results that show effective performance above 90% accurate when communicating these functions. LegalMind will assist students, researchers and practicing attorneys in the efficient communication of legal information.},
        keywords = {Artificial Intelligence, Machine Learning, Natural Language Processing, Legal Document Analysis, Case Prediction, Legal Text Summarization, Transformer Models, BERT, Sentence-BERT, Legal-BERT, Information Retrieval, Semantic Similarity.},
        month = {April},
        }