Matter Context
Definition
Matter context is the accumulated body of information relevant to a specific legal matter, including uploaded documents, prior research, communications, and case facts, that an AI system maintains and references across all interactions. It allows the AI to provide increasingly relevant assistance as the matter develops, without requiring lawyers to re-explain background each time.
Legal work is inherently contextual. Every research question, every draft, and every document review occurs within the context of a specific matter with its own facts, legal issues, jurisdictional constraints, and strategic considerations. When a lawyer asks a colleague a question, the colleague draws on their accumulated knowledge of the matter. Without context, the same question produces generic, less useful answers.
Matter context brings this same contextual awareness to AI interactions. When a lawyer uploads documents, conducts research, or generates drafts within a matter, the AI retains that context and uses it to inform future interactions. A research query about damages automatically considers the specific contract at issue. A drafting request references the opposing party's last markup. A document analysis draws on prior research findings about the applicable legal standard.
The practical impact of matter context is significant. It eliminates the repetitive re-explanation that plagues AI interactions without context. It improves the relevance and accuracy of AI outputs because the system understands the specific circumstances. And it creates a growing repository of matter intelligence that benefits every team member working on the case, regardless of when they joined the matter.
How Irys approaches this
Irys maintains rich matter context across all workflows, so every research query, draft, and analysis benefits from the full history of work and documents associated with that matter.
Related terms
AI Matter Management
AI matter management applies artificial intelligence to the organization, tracking, and analysis of legal matters. It uses AI to automate task management, surface relevant precedents from past matters, predict timelines and resource needs, and maintain institutional knowledge that would otherwise exist only in individual lawyers' memories.
Legal TechLegal Knowledge Management
Legal knowledge management is the systematic process of capturing, organizing, and making accessible the collective expertise and work product of a legal organization. AI-enhanced knowledge management goes beyond document storage to understand the substance of legal work, automatically categorize materials, and surface relevant precedents when lawyers need them.
WorkflowAmplify Prompt
Amplify Prompt is a feature that automatically enriches a lawyer's query with relevant context before sending it to the AI model. It adds jurisdictional parameters, matter context, relevant document references, and structural framing to a simple question, transforming a brief query into a comprehensive, well-structured prompt that produces higher-quality results.
WorkflowMulti-Document Analysis
Multi-document analysis is the AI capability to simultaneously process, compare, and extract insights from multiple legal documents. This allows lawyers to ask questions across an entire set of contracts, depositions, or discovery documents, identifying patterns, inconsistencies, and key provisions without reading each document individually.
See Matter Context in action
Irys One brings research, drafting, and document intelligence together in one platform. Try it free for 14 days.
Try Irys free