From connection to context: Dispelling the legal industry’s biggest myths about MCP

As the legal industry embraces AI, firms are moving beyond standalone chatbots and exploring ways to embed AI into everyday legal work. This shift requires a practical focus on how AI models connect to the information lawyers rely on, where that information resides, and how access is governed. The Model Context Protocol (MCP) has gained attention as an open standard that enables AI tools to connect more consistently with external systems, data sources, and applications.

However, it's crucial to distinguish what MCP can and cannot do to avoid overestimating its capabilities or dismissing it as just another technical term. Five common misconceptions about MCP need to be clarified:

1. MCP is not exclusive to Claude. Although Anthropic created MCP, it is an open-source framework that is becoming part of the broader conversation about AI agents connecting to external tools, data sources, and systems. Treating MCP as a single-vendor feature can lead to dismissing it as something tied to a specific model or product roadmap. Instead, firms should consider how MCP fits into their wider AI strategy, integration architecture, and governance model.

2. MCP does not replace APIs. APIs continue to play a vital role as the backbone of platform-to-platform connections, allowing software systems to exchange data and trigger actions. MCP acts as a protocol layer on top of APIs, providing AI agents with a standard way to discover and interact with approved legal systems, tools, and data sources.

MCP is more akin to a universal adapter for AI, offering a common way for AI tools to understand available systems and functions, but it does not eliminate the need for APIs, authentication, system owners, or clear rules about AI tool access.

3. MCP does not mean moving documents into AI tools. Connecting AI to legal systems does not involve copying large volumes of documents into external platforms. Instead, AI should only be granted controlled access to governed systems. Documents, precedents, and matter files can remain within the firm's trusted environment, while AI tools use MCP to retrieve only the authorized information.

This approach maintains existing permissions, security policies, and governance controls, ensuring sensitive material is not copied into uncontrolled systems.

4. Not all MCP integrations are the same. As MCP adoption grows, there may be a tendency to view any MCP-compatible integration as equally valuable. However, MCP standardizes the connection, not the value of the data exchanged. One integration may provide basic file retrieval, while another offers richer information about permissions, matter relationships, document history, metadata, and audit trails.

Both may be MCP-compatible, but their outcomes will differ. Law firms should focus on the specific capabilities provided by each integration, including access rights enforcement and audit trails.

5. MCP does not automatically provide legal context. While MCP establishes the route into legal systems, it does not determine what the AI receives or understands. Connection alone does not equate to context. Legal AI tools need more than just access to documents; they require an understanding of the matter, client, permissions, version history, related work, and institutional knowledge.

For instance, an AI tool may locate a precedent agreement but may not be aware of its current status, relevance to a similar matter, alignment with the firm's preferred position, or whether the lawyer has permission to access related material. MCP serves as the access layer, not the intelligence layer. Its true value lies in enabling AI tools to connect to legal systems that provide governed, matter-aware, and permission-sensitive context.

In summary, MCP offers law firms a standardized way to connect AI tools to existing systems, but legal AI success depends on more than just connection. The quality of information, access controls, and context provided by the legal systems are crucial factors in determining whether connected AI truly impacts legal work.