Client
The client offers AI solutions tailored for legal professionals, helping them legal document and case management. Their offerings include advanced tools for e-discovery, co-pilot assistance, and robust security and compliance measures.
Note: As Per NDA we cannot mention the name of our client due to privacy concerns
Client Challenge
The client faced significant challenges in classifying and managing a high volume of documents received via email. The primary issues included the following:
- Lack of Categorization: The client received a huge database of messages in their inbox daily without any categorization. This made it difficult and time-consuming to keep track of their messages and prioritize deliveries.
- Manual Validation: Previously, the client had to review each of the numerous emails they received daily and manually validate the information. This process consumed much of their valuable time and was prone to human error.
- Sentiment Analysis: It was crucial for the client to understand the sentiment of each document they received from their users to gauge urgency. However, this task was labour-intensive and challenging to manage without human errors.
- Data Logging: The client received many legal documents every day, and since all the documents were manually validated, there were delays in examination. This led to an accumulation of data logs, slowing down the entire process.
Client Requirements
The client sought a solution that would:
- Automate Document Classification: Efficiently categorize incoming documents for better accessibility.
- Perform Sentiment Analysis: Determine the emotions conveyed in the documents to understand the urgency and sentiment behind each document.
Approach
To address the client’s challenges, we proposed an automated system with the following features:
- Project Execution in Azure Cloud: The entire project was executed in the client’s Azure Cloud environment, ensuring seamless integration with their existing infrastructure.
- Python Framework: Utilized Python to develop a machine learning model trained on a diverse dataset of documents to automatically classify and categorize incoming emails.
- Named Entity Recognition (NER): Implemented AI automation for NER to classify documents into specific entities, including Name, Organization, Location, Date, Quantity (Any cost value associated in the email)
- Sentiment Analysis: Utilized Large Language Models (LLM) versions 3.5 and 4.0 to perform sentiment analysis, assessing the emotional tone of each document.
- Power BI Dashboard: Developed a Power BI dashboard to visualize and monitor the classification and sentiment analysis results, providing the client with a user-friendly interface for real-time insights and decision-making.
Solutions
The implementation of this solution is expected to provide several key benefits:
- Efficiency: With our AI solution, we significantly reduce the time and effort of client in document validation. Earlier, client did manually reviewed documents that took a lot of time and effort.
- Accuracy: AI solution has reduced the scope of human errors found during document classification. Documents are now classified more accurately and are easily accessible to the client.
- Insight: We helped client understands the sentiment of the received document without investing any time and efforts on it. AI analyse the sentiments behind the send documents and shares it with the client saving their time and helping them understand the need and sentiments of their end users.
- Speed: By automating document process that was earlier done manually we manage to increase subsequent increase of speed in the document processing, analysis, reducing client effort and helping out client deliver user satisfaction.
Conclusion
By addressing these challenges through automation and advanced NLP techniques, the client can achieve a streamlined, efficient, and insightful document management process, ultimately improving their operational efficiency and customer responsiveness.
Stridely Solutions
Stridely Solutions is a premier provider of AI and ML services, empowering businesses to transform massive amounts of data into actionable insights. Specializing in generative AI, we develop custom solutions that enable organizations to process high volumes of data and leverage sophisticated algorithms for self-learning machines. Our experienced team excels in various AI and ML applications, including anomaly detection, forecasting, spam filtering, and product recommendations. With Stridely Solutions’ cutting-edge AI and ML services, businesses can unlock hidden possibilities within their data, addressing critical challenges and driving innovation.