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The Competition on Legal Information Extraction/Entailment (COLIEE) is heldannually to encourage advancements in the automatic processing of legal texts.Processing legal documents is challenging due to the intricate structure andmeaning of legal language. In this paper, we outline our strategies fortackling Task 2, Task 3, and Task 4 in the COLIEE 2023 competition. Ourapproach involved utilizing appropriate state-of-the-art deep learning methods,designing methods based on domain characteristics observation, and applyingmeticulous engineering practices and methodologies to the competition. As aresult, our performance in these tasks has been outstanding, with first placesin Task 2 and Task 3, and promising results in Task 4. Our source code isavailable at https://github.com/Nguyen2015/CAPTAIN-COLIEE2023/tree/coliee2023.

CAPTAIN at COLIEE 2023: Efficient Methods for Legal Information Retrieval and Entailment Tasks