Reshaping ELM Into a System of Record

Enterprise Legal Management (ELM) was originally designed to help legal departments gain visibility into their work, costs, and outcomes but has since evolved into a system of record, writes Anna Richards of Brightflag. 

In an AI-native environment, legal operations teams now require more than visibility. They need systems that generate actionable insights and support better decisions directly within legal workflows. Richards notes that the future of ELM depends on its ability to serve as a unified system of record for matters, vendors, and spend. 

Legal departments frequently face questions that span multiple data sources, making it difficult to evaluate law firm performance, control budgets, or assess staffing decisions. As the modern ELM embraces a system of record, it must establish a consistent data model, serve as an authoritative source of truth, enforce business rules, manage workflows, provide auditability, govern permissions, and function as an integration hub. Without these capabilities, fragmented data creates blind spots that undermine decision making.

Richards traces the evolution of AI within ELM platforms. The first wave of generative AI introduced summaries and conversational interfaces, but these tools often operated alongside workflows rather than within them. More recently, AI has become embedded directly into legal processes, enabling users to move from questions to actions without leaving the workflow.

Looking ahead, Richards identifies Model Context Protocol (MCP) as a major development. MCP enables legal teams to connect preferred AI tools with ELM data, enabling work across platforms while maintaining access to authoritative information. Evaluating ELM solutions in 2026 requires looking beyond AI features and focusing on data quality, governance, workflow integration, and openness.