NetDocuments has introduced a novel approach to document management with the unveiling of what it terms the first legal context graph. This proprietary knowledge infrastructure aims to enhance the mapping of relationships among documents, communications, and people within a firm’s repository while maintaining existing permissions and ethical guidelines.
This legal context graph represents a shift from traditional document storage systems by continuously indexing and connecting data at multiple levels. At the document level, it includes classification and version history, at the matter level it relates documents to form a cohesive narrative, and at a global level, it aggregates firm-wide expertise and patterns.
The company developed this technology in collaboration with AWS and Elastic, asserting compatibility with various AI models from Anthropic, OpenAI, among others. The development leverages standards from the SALI Alliance and FOLIO to enhance legal data taxonomy.
A ‘Reimagined’ Platform
The reimagined platform includes an overhauled user interface designed from extensive research and user studies. Key features involve:
- Matter Overview: Automated summaries and timelines to orient new users rapidly.
- SmartSearch: A natural-language search tool that respects user permissions.
- AI-Generated Version History: Automatic summaries of document changes and their context.
- Document Intelligence: Automated classification and data extraction upon document additions.
- Co-Authoring and AI Editor: Real-time co-authoring in Word with AI-driven editing capabilities.
- Notifications: Alerts regarding actions by colleagues and AI agents.
Context Is Key
The platform emphasizes the growing importance of context in legal AI. This aligns with broader industry trends that prioritize structuring and understanding institutional knowledge as key competitive advantages. By embedding the context graph within the document management system, NetDocuments aims to leverage AI agents across integrated tools like Claude and ChatGPT, improving access to institutional knowledge.
NetDocuments contrasts its approach with more isolated AI applications that lack deep integrations, emphasizing the benefits of a comprehensive knowledge map accessible through the platform itself. The ability for users to toggle between the new and existing interfaces, without data migration, also underscores the platform’s versatility.
A public preview is anticipated in the coming months, following a private launch for select enterprise AI customers. For further insights, legal professionals can read more in the full article.