Kelvin Agentic OS.
Your AI agents need structured legal data — statutes, regulations, case law, filings. Kelvin delivers it through Python libraries, REST APIs, and MCP servers that work with any agentic tool out of the box.
Universal Compatibility
Works with Every MCP Client
Kelvin ships as MCP servers that plug directly into Claude Code, Cursor, Windsurf, and any other MCP-compatible tool. Your AI assistant gains access to structured legal data without custom integration work.
The Shift
Rebuilt from the Ground Up for a New Consumer
Kelvin v1 was a traditional web platform — a monolithic application with a browser-based UI. We didn't just update it. We rebuilt it from the ground up for a fundamentally different consumer: AI agents, not humans clicking through dashboards.
This was a deliberate architectural choice. In the agentic era, the consumers of legal data infrastructure are AI agents, IDE extensions, automated pipelines, and MCP-connected tools. The interface is an API call, not a dashboard.
Kelvin Agentic OS is built from the ground up for this reality: a suite of focused, composable libraries that AI agents and developers can integrate directly into their workflows.
MCP-ready
First-class Model Context Protocol servers for seamless integration with Claude Code, Cursor, Windsurf, and any MCP-compatible tool.
Agent-native architecture
Every component is designed to be invoked by AI agents and automated systems, not just human users.
Composable by design
Use only the components you need. Each library works independently or in combination with others.
Capabilities
What Kelvin Provides
Six core capability areas, each available as independent Python packages with REST API and MCP server interfaces.
Structured access to document management systems, billing platforms, matter management, and legal research databases — with consistent, typed interfaces.
Legal-domain NLP for entity extraction, citation parsing, clause classification, and contract analysis — built on years of production experience.
Provider-agnostic LLM integration with structured output, token management, cost tracking, and prompt versioning across OpenAI, Anthropic, and open-source models.
Extraction, transformation, and structuring of legal documents — including OCR, table extraction, redaction detection, and format conversion.
Semantic search, vector storage, and hybrid retrieval tuned for legal corpora — with support for multiple embedding models and index backends.
Composable task graphs for multi-step legal workflows — review pipelines, compliance checks, and batch processing with built-in logging and error handling.
Integration
Three Ways to Use Kelvin
Python Packages
Install individual libraries via pip or uv. Full type annotations, comprehensive documentation, and standard Python packaging. Import what you need, nothing more.
REST APIs
Deploy any Kelvin component as a standalone service. OpenAPI specifications, authentication, rate limiting, and horizontal scaling built in.
MCP Servers
Connect Kelvin capabilities directly to Claude Code, Cursor, Windsurf, and other MCP-compatible tools. Your AI assistant gains access to your legal data infrastructure without custom integration.
Architecture Principles
Architecture, Not Magic
Kelvin is built on principles we have applied across dozens of enterprise legal technology deployments.
Open Standards
Built on standard Python packaging, OpenAPI, and MCP. No vendor lock-in. Your data stays yours, and your integrations survive vendor changes.
Security First
Deploy on-premise or in your own cloud. All data processing happens within your security boundary. No data leaves your environment unless you choose to send it.
Battle-Tested
Core components have been in production across AmLaw 50 firms and Fortune 500 legal departments. Kelvin v2 packages the best of what we have built and learned.
Timeline
Coming Q2 2026
Kelvin Agentic OS is in active development. Initial packages — data connectors, NLP libraries, and MCP servers — are targeted for Q2 2026 release, with additional capabilities following throughout the year.
If you are interested in early access, pilot programs, or providing input on priorities, we would like to hear from you.
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