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AI in the Courtroom: Enhancing Legal Decision-Making through Predictive Modelling

Author

Listed:
  • Surisetty Hima Varshini

    (Department of Computer Science and Engineering, Amrita School of Computing, Amrita Vishwa Vidyapeetham, Bengaluru, India)

  • Gottimukkala Sarayu Varma

    (Department of Computer Science and Engineering, Amrita School of Computing, Amrita Vishwa Vidyapeetham, Bengaluru, India)

  • Peeta Basa Pati

    (Department of Computer Science and Engineering, Amrita School of Computing, Amrita Vishwa Vidyapeetham, Bengaluru, India)

  • Priyanka Prabhakar

    (Department of Computer Science and Engineering, Amrita School of Computing, Amrita Vishwa Vidyapeetham, Bengaluru, India)

  • Shantipriya Parida

    (��Silo AI, Helsinki, Finland)

Abstract

Legal outcome prediction or legal judgement prediction is the process of making predictions of the possible outcome of a legal proceeding based on its case file. This work focuses on the importance of allowing less privileged or marginalised groups to have better access to law services. This work discusses the implementation of 13 different deep learning models and the results obtained for each of them. The range of models employed encompasses a spectrum from basic perceptron models to more complex convolutional network models and encoder-based models. The models like multi-layer perceptron (MLP), convolutional neural network (CNN) model, BERT, LegalBERT, DistilBERT, RoBERTa and the different combinations of these encoder-based models are implemented. The input to these models is the case files and their corresponding judgement status. Four different classes of petitions and appeals, submitted to the court, were considered to train all the models. The efficiency of these models was tested in terms of various performance metrics like training accuracy, testing accuracy, training loss, validation loss and F1 score.

Suggested Citation

  • Surisetty Hima Varshini & Gottimukkala Sarayu Varma & Peeta Basa Pati & Priyanka Prabhakar & Shantipriya Parida, 2025. "AI in the Courtroom: Enhancing Legal Decision-Making through Predictive Modelling," Journal of Information & Knowledge Management (JIKM), World Scientific Publishing Co. Pte. Ltd., vol. 24(01), pages 1-22, February.
  • Handle: RePEc:wsi:jikmxx:v:24:y:2025:i:01:n:s0219649224500990
    DOI: 10.1142/S0219649224500990
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