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This paper presents the NOWJ team's approach to the COLIEE 2023 Competition,which focuses on advancing legal information processing techniques and applyingthem to real-world legal scenarios. Our team tackles the four tasks in thecompetition, which involve legal case retrieval, legal case entailment, statutelaw retrieval, and legal textual entailment. We employ state-of-the-art machinelearning models and innovative approaches, such as BERT, Longformer,BM25-ranking algorithm, and multi-task learning models. Although our team didnot achieve state-of-the-art results, our findings provide valuable insightsand pave the way for future improvements in legal information processing.

NOWJ at COLIEE 2023 -- Multi-Task and Ensemble Approaches in Legal Information Processing