Securex needed a faster, more scalable way to retrieve legal knowledge across its Lex4You portal. Faktion developed a GenAI-powered Copilot using Retrieval-Augmented Generation (RAG) to deliver accurate, contextual answers with source references. The result: faster searches, higher accuracy, and improved decision-making.
Securex, a leading provider of HR and legal services, operates the Lex4You portal, which serves as a primary knowledge hub for employers, HR professionals, and legal advisors. The platform contains extensive documentation on labour law, social security, and tax regulations. However, navigating this wealth of information manually posed significant challenges:
Securex required an AI-powered solution capable of delivering quick, reliable, and contextually appropriate accurate responses to user queries.
To address these challenges, Faktion developed a GenAI-powered Copilot Assistant for the Securex AI Lab, with an elaborate Retrieval-Augmented Generation (RAG) system under the hood. This solution combines:
By integrating retrieval and LLM-driven content generation, the system significantly enhanced Securex’ legal information delivery process.
This need was addressed within the partnership between Faktion and Securex’s AI Lab.
The Lex4You Copilot Assistant can now deliver substantial improvements in efficiency and accuracy across Securex's legal advisory workflows:
The prototype has shown that Securex is able to scale its knowledge delivery, ensuring that HR professionals and legal advisors receive the right information at the right time. Upon the validation of this AI-powered legal copilot prototype, further enhancements and improvements should be developed, including expanding the knowledge domains and multi-language support.
By combining AI-driven retrieval and contextual knowledge generation, Securex and Faktion have demonstrated that accessing, processing, and delivering legal information can be much more quicker and more accurate, in an intuitive way. This will enable faster and more informed decision-making in HR and labor law contexts.