AI eDiscovery: Workflow Resources
AI eDiscovery: Workflow Resources
Workflow-focused resources for connecting AI assistants to eDiscovery context, MCP servers, and legal plugin patterns while keeping human review, read-only defaults, and non-legal-advice boundaries visible.
eDiscovery Decoder MCP Setup
What it is
- Free read-only educational MCP endpoint for eDiscovery news, TAR calculators, prompts, and reference resources
- Useful for seeing how a hosted MCP server can connect an AI assistant to approved eDiscovery workflow capabilities
- Includes copyable setup prompts for Codex, Claude, Cursor, VS Code, and other MCP-capable clients
Topics covered
- MCP setup, remote streamable HTTP transport, educational TAR calculators, eDiscovery AI news, non-legal-advice guardrails
Start here when you want to connect the public eDiscovery Decoder MCP to an assistant and test a low-risk, read-only legal workflow resource.
MCP, Legal Plugins, and Closing the Context Gap
What it is
- eDiscovery Decoder article explaining why model access alone is not enough for legal AI workflows
- Introduces MCP as a context layer for approved tools, read-only resources, and reusable prompts
- Connects local and remote MCP patterns to review status updates, search term reports, QC summaries, and matter playbooks
Topics covered
- Model Context Protocol, legal plugins, context access, local versus remote MCP, permissions, auditability, human review
Use this as the conceptual companion to the MCP setup page before deciding what context a legal AI workflow should expose.
Claude Legal Plugin
What it is
- Claude legal plugin page for contract review, NDA triage, risky-clause detection, legal briefing, and compliance workflows
- Useful example of legal AI tooling packaged around task-specific workflows rather than general chat alone
- The page describes MCP-connected richer context from files and legal systems
Topics covered
- Legal plugins, Claude, contract review, compliance workflows, legal briefings, MCP-connected context
Use this as an external example of where legal AI workflow tooling is heading; evaluate it under your team's confidentiality, privilege, and supervision requirements.