Optimization of Web Service for Extracting Facts from Legal Documents
- This project involved the development of a web service designed to extract key facts from legal documents. The solution significantly accelerated document processing, which is critical for the timely approval of credit applications.
Client
The customer is one of the largest and most influential financial institutions in the region, with a strong focus on innovation in financial services. They provide a wide range of banking products, including personal loans, mortgages, and business financing. The company has been a pioneer in adopting digital transformation strategies, seeking to streamline its internal processes and improve overall customer experience.
Due to confidentiality agreements, specific details about the client cannot be shared.
Challenge
The challenge was to accelerate the decision-making process for credit approvals. Lawyers required between 1 to 5 business days to process documents, depending on their volume, leading to significant delays in credit approval workflows.
Objective
To reduce the document processing time and expedite the approval process for credit applications by implementing an automated solution to extract key facts from legal documents.
Solutions Implemented:
Results Achieved:
Team
The team consisted of 5 backend developers specializing in Python and microservices architecture.
