The recent developments in the legal and technological research fields have shown a significant shift towards leveraging advanced technologies to address complex legal challenges. A notable trend is the integration of big data and artificial intelligence (AI) in legal practices, aiming to enhance efficiency, accuracy, and accessibility in judicial processes. Studies have focused on creating methodologies for combining big data with judicial trials, assisting judges in making informed decisions, and improving the overall efficiency of the legal system. Additionally, there is a growing emphasis on the adaptation and fine-tuning of multilingual and large language models (LLMs) to cater to specific legal contexts, such as Japanese legal text retrieval and the production of legally sound responses with appropriate citations. These advancements not only address language-specific challenges but also provide scalable solutions for resource-constrained environments. Furthermore, innovative approaches like trichotomous reasoning in legal judgment prediction are being introduced to bridge gaps in current LLM capabilities, ensuring more comprehensive and accurate legal outcomes. Overall, the field is moving towards more sophisticated, data-driven, and context-aware legal solutions, promising to revolutionize how legal services are delivered and accessed.