This paper details the development of an automated email analysis tool designed to streamline the extraction and analysis of key email artifacts, which includes URLs, email headers, IP addresses, and attachments. The tool aims to enhance the efficiency and accuracy of email analysis. Methodologically, this paper integrates existing tools for data extraction and analysis, supplemented with Natural Language Processing (NLP) techniques to discern the intent behind emails. Preliminary results indicate a significant improvement in response times for email analysis, demonstrating the tool’s potential in accelerating and refining the process of email threat detection. This advancement not only contributes to the field of cybersecurity by providing a more efficient method for handling email-based threats but also sets a foundation for future enhancements in automated email analysis.