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LANCERProject Description
A European legal research firm specializing in GDPR compliance sought an intelligent solution to simplify case law research. The client aimed to improve accessibility to CJEU judgments while ensuring precision and scalability. They partnered with Oodles to build an AI-powered chatbot using Retrieval-Augmented Generation (RAG) that delivers accurate, context-aware legal insights.
Scope Of Work
The client sought Oodles for a GDPR-focused chatbot capable of analyzing case law judgments and answering compliance queries in real time. The project focused on RAG-based knowledge retrieval, preprocessing of structured HTML judgments, and a scalable architecture that could expand from 120 GDPR-related cases to 40,000+ EU judgments, ensuring long-term usability and efficiency.
Our Solution
Oodles designed a GDPR-centric legal research assistant powered by Retrieval-Augmented Generation to transform how compliance professionals access and analyze case law. The chatbot combined AI-driven reasoning with structured data processing, ensuring accuracy, scalability, and ease of use.
Key features delivered:
- GDPR Case Law Integration: Indexed 120+ CJEU judgments as the foundation for legal research.
- Retrieval-Augmented Generation: Combined vector-based search with AI summarization for precise responses.
- Future-Ready Scalability: Designed to extend coverage to 40,000+ EU judgments.
- HTML Preprocessing Pipeline: Enabled efficient chunking, parsing, and indexing of legal documents.
- Interactive Query Responses: Delivered context-aware answers tailored for legal researchers.