Tiger Eye, the legal technology specialists dedicated to Harnessing Knowledge and Unleashing Potential, have today (14th May) announced the launch of an AI Curation Assistant feature for the organisation’s flagship Knowledge Management solution, Tiger Eye Blueprint. Breaking down common barriers to knowledge sharing, the new feature uses AI to suggest key enrichment data for resources, (such as metadata and tags), making it easier for users to contribute valuable knowledge to central repositories such as knowledge libraries, banks, or databases.
Tiger Eye’s new feature aims to address multiple challenges experienced during knowledge sharing processes, including time constraints, manual processes and poor user experiences. Using Azure OpenAI, the feature uses the content of the document to automatically suggest a wide range of fields within Tiger Eye Blueprint on behalf of the user, including text fields, tags, and taxonomy fields. In doing so, manual efforts are reduced for users, and documents can be quickly enriched and contributed to the knowledge base. Suggested content and tags can also be reviewed and edited by individuals before they choose to share knowledge resources to the central knowledge database.
In lessening friction during the knowledge sharing workflow, the feature is designed to boost engagement with knowledge at a firm-wide level. By automating and standardising key knowledge curation elements such as metadata and tags, the feature can also help users drive greater consistency across the knowledge database, and in turn, improve search experiences.
More broadly, the business benefits of adopting Knowledge Management across a law firm can be significant, including increasing efficiency, driving service consistency, and reducing the risk of knowledge loss when subject matter experts leave the organisation. Valuable knowledge databases can also be used to support greater results from AI, with content grounded in trusted resources.
Sam Hudson, Chief Growth Officer, commented:
“Tiger Eye have been in the world of legal Knowledge Management for well over a decade, and during that time we have seen many firms grapple with the challenge of knowledge engagement. The nature of Knowledge Management often means that firms are asking their most in-demand staff — their subject matter experts — to invest time in sharing their hard-earned knowledge and experience with the wider firm. Using AI, we hope to address some of the common barriers to knowledge sharing across a firm, particularly for busy fee-earners such as Partners, who might otherwise struggle to impart knowledge in the same way.”