EUR-LEX AI Search
PROJECT
Case study
SERVICES
User Experience Design
AI-driven search redesign for EUR-LEX to improve efficiency and user experience.
In this project, we aimed to leverage AI to create a highly effective and user-friendly search experience for EUR-LEX, the primary EU law repository. Our challenge was to go beyond a typical chatbot, which can be slow and ineffective, and instead integrate AI meaningfully to enhance user interaction and efficiency.
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Takeaway
The learnings from this project emphasize the importance of continuous user engagement and feedback to drive ongoing improvements and innovations in digital experiences. This project highlighted the power of AI in transforming the search experience on EUR-LEX, making it more efficient, accurate, and user-friendly.
search faces several significant challenges, including accuracy and relevance of results, and transparency and explainability. Difficulties in understanding context and handling multilingual queries further complicate effectiveness. Technical limitations, such as high computational resource needs, and the necessity for ongoing maintenance and continuous learning, add to the complexity.
Additionally, user trust and adoption can be hindered by past performance issues, and ethical and legal challenges must be navigated to ensure compliance and accountability. Effective searching, filtering, scoping, and sorting are crucial in this context, as they directly impact users' ability to find relevant information quickly and efficiently, enhancing the overall utility and user experience of AI search systems. Addressing these challenges is essential for developing reliable and user-friendly AI search technologies.