Legal IT software provider Lexsoft Systems today (18 May) announced that its legal knowledge management system, Lexsoft T3, is now fully accessible and integrable via the Model Context Protocol (MCP). The company also launches a new Microsoft-based OpenAI vectorised Indexer in T3 for semantic searching, supporting contextualised search results.
Through the new plug-and-play capability with MCP functionalities, law firms and corporate legal departments can now connect T3 with MCP-compatible legal AI orchestrator, such as Microsoft Copilot, Claude, and Gemini, and third-party AI platforms such as Harvey, for knowledge search, retrieval, and classification. In the future, too, organisations will be able to connect with new, MCP-integrable AI tool vendors, based on evolving knowledge management requirements.
T3’s new OpenAI vectorised Indexer, meanwhile, provides semantic searching, delivering more accurate, context-aware search results. A standard Indexer typically matches exact or derivations of the same word – for example, contract, contracts, and contracting. However, this new vectorised T3 Indexer understands, for instance, that ‘contract’ and ‘agreement’ are similar concepts. It can also distinguish similar words in different contexts – for example, ‘Milan’ the person versus ‘Milan’ the city.
“By combining MCP functionality, advanced semantic search, and human‑centered review, T3 now plays a critical role in supporting the current wave of AI-led transformation of working practices in the legal sector,” Carlos García-Egocheaga, CEO of Lexsoft Systems, says. “We are developing T3 so that the solution enables organisations to optimally use AI for knowledge management while ensuring safeguards through close human involvement and oversight. The best part is that through generative AI tools such as Copilot, Claude, and Gemini, or Harvey; T3, knowledge management is seamlessly embedded within the legal workflow. In effect, the solution becomes invisible. Lawyers can simply trust that they are accessing the best knowledge documents as a matter of course.”
Elsewhere, legal technology specialists Tiger Eye have announced the launch of an AI Curation Assistant feature for the organisation’s flagship knowledge management solution, Tiger Eye Blueprint. 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.
Sam Hudson, chief growth officer at Tiger Eye, 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.”
