AI Agents in Legal Research: From Automation to Tailored Responses to Legal Regulations
Published online: 20/01/2026
Corressponding author's email:
ntuduyen@hcmute.edu.vnDOI:
https://doi.org/10.54644/jte.2026.2025Keywords:
AI agent, Law, Automation, Legal process, Case analysisAbstract
This paper explores the application of AI agents in the legal field, particularly in optimizing the processes of legal research and analysis. The aim of the study is to investigate the potential of AI in enhancing workflows within the legal sector, ranging from automating data collection and legal analysis to predicting the outcomes of legal cases. The research method involves integrating AI agents into the n8n workflow automation platform, an open-source tool, to automate tasks such as searching for legal information, analyzing similar cases, and extracting data from legal databases. The results demonstrate that AI agents not only significantly reduce the time spent on data retrieval and processing but also improve the accuracy of case analysis and legal predictions. These findings suggest that AI can revolutionize how legal professionals and students approach and handle legal information, offering substantial potential to enhance work efficiency within the legal field. AI agents are an essential tool in the legal industry, not only supporting research but also enhancing the quality of legal services. The results of this study open up opportunities for applying AI technology to automate legal processes, particularly in resource-limited environments, helping to reduce costs and improve access to legal research tools for students and legal organizations in under-resourced areas.
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