A legal organization handling vast amounts of incoming emails faced challenges in categorization, manual validation, and sentiment analysis. Their inbox was cluttered with unstructured messages, making it difficult to prioritize urgent cases. The manual process of reviewing each document was time-consuming, error-prone, and delayed decision-making.
Stridely Solutions implemented a Generative AI-powered solution to automate document classification and sentiment analysis. Using Python and AI models, we developed a system that categorized messages, recognized key entities, and analyzed the emotional tone of documents. The solution was deployed in the client’s Azure Cloud environment and integrated with a Power BI dashboard for real-time monitoring.
With this automation, the client significantly improved efficiency, reducing manual effort and errors in document validation. Sentiment analysis now helps them gauge urgency without human intervention, streamlining their workflow. The AI-driven approach has transformed their document management process, enabling faster, more accurate, and data-driven decision-making.