Use Enterprise Legal Review with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Predict legal review durations and negotiation dynamics.
Developed, maintained, and hosted by Vinkius.
MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED
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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.
Complete set · 4 capabilities
The complete Enterprise Legal Review capability set.
These are the exact actions your AI can choose when you ask it to work with Enterprise Legal Review.
01-04
4 capabilities in this set.
Part of 4 available through Enterprise Legal Review.
- 01
Get capacity impact analysis
Determines how shifts in legal team availability will impact current and upcoming contract timelines
- 02
Get complexity risk profile
Evaluates the risk level of a contract based on its type and complexity to determine if additional review layers are needed
- 03
Get negotiation dynamics
Calculates the estimated negotiation difficulty and the organization's ability to influence the outcome
- 04
Get review timeline
Provides the primary estimate for how long a contract will remain in the legal review stage
One connector, every AI
Enterprise Legal Review works with the most popular AI clients.
These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.
Claude
ChatGPT
Gemini
Perplexity
Grok
Microsoft Copilot
Cursor
VS Code
Windsurf
JetBrains
Cline
LangChain
Vercel AI SDK
Lovable
Z.ai
Raycast
Qwen Code
Kimi Code
Le ChatBuilding your own app? The connector is yours to use.
You don't need a client to put Enterprise Legal Review to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.
Observed, not estimated
982ms average. Fast in production.
Enterprise Legal Review is checked daily against the live service.
- Fastest day
- 982ms
- Slowest day
- 982ms
- 14-day trend
- Stable0%
Connect your client
One URL. Every client.
Activate the Connector, copy your link, and paste it into the client you already use. 4 capabilities arrive ready to run.
Preview access · not provider authentication
The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Enterprise Legal Review, so you can see the experience inside your AI.
It does not authenticate your account with Enterprise Legal Review. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
Enterprise Legal Review Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_zPUcXz3AWjahWfZefzy2CHPNKMGI2PHCnLasFVFB/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — Enterprise Legal Review capabilities are ready to use.
{
"mcpServers": {
"enterprise-legal-review-timeline-mcp": {
"url": "https://edge.vinkius.com/vk_preview_zPUcXz3AWjahWfZefzy2CHPNKMGI2PHCnLasFVFB/mcp"
}
}
}
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Step-by-step instructions for each client are in the guide. How to connect
Guided setup for Claude? link.label
FAQ
Questions Enterprise Legal Review owners ask.
- 01
How accurate are the timeline predictions?
Predictions are based on real-time inputs like teamCapacity and complexityScore to provide data-driven estimates for legal workflows.
- 02
Can I assess vendor negotiation strength?
Yes, by using get_negotiation_dynamics, you can determine the organization's leverage and the difficulty of resolving redlines.
- 03
How does team capacity affect the results?
The get_capacity_impact_analysis capability specifically calculates how shifts in available bandwidth will delay redline resolution.
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