Case Study: Homburger achieves instant, secure access to institutional knowledge with DeepJudge

Homburger Elevates Client Service and Efficiency with AI-Powered Knowledge Search

Homburger, a leading Swiss law firm, faced slow, keyword‑based searches across a multilingual corpus of over 50 million internal documents (Word, PDF, iManage and other stores), making it hard to surface firm precedents, memos and market‑standard practice while preserving privacy and access controls. To solve this, Homburger engaged DeepJudge and adopted DeepJudge’s Knowledge Search to provide an intent‑based, secure search layer that could integrate with the firm’s systems and support advanced AI workflows.

DeepJudge implemented a semantic NLP search with sub‑second results, multilingual support, AI‑driven classification and metadata tagging, secure SSO and deployment inside Homburger’s environment, and real‑time index updates across sources like SharePoint, OneDrive and DMS. The outcome: DeepJudge is used weekly by 80% of Homburger’s lawyers, 80% of users say they now find prior work they couldn’t find before, 92% report advantages over the DMS search, and routine document retrieval tasks that once took hours are completed in minutes—boosting client response times, associate satisfaction and the firm’s generative AI capabilities.

Homburger

David Oser

Partner in M&A