Webb App for Document Management and Complexity Classification Prototype

Project overview

We are seeking innovative solutions to automate the management and classification of legal documents. This project aims to develop a prototype that can read and analyze unstructured legal documents, classify them based on complexity and criticality, and assign cases to lawyers efficiently. The goal is to enhance the strategic defense capabilities of the CDE, reduce processing times, and provide relevant information for decision-making in legal cases. This is for support entities in finding solutions to challenges through research and technological development. The solution will help a significant volume of legal cases more effectively, leveraging artificial intelligence (ai) and natural language processing (nlp) technologies. Key aspects of the project include: • Automating Document Analysis: Using ai and nlp to read, extract, and analyze text from legal documents, enabling automated classification based on predefined criteria. • Improving Case Management: Providing a centralized system for classifying document complexity and criticality, facilitating better allocation of cases to lawyers based on their expertise and workload. • Enhancing Decision-Making: Delivering comprehensive information to lawyers about the cases they handle, including similar past cases, relevant legal precedents, and criticality alerts. • Ensuring Security and Compliance: Implementing robust security measures to protect confidential information and comply with legal regulations on data protection and cybersecurity.

Category IT & Programming
Subcategory Artificial Intelligence
Project size Small
Is this a project or a position? Project
Required availability As needed

Delivery term: July 19, 2024

Skills needed