Introduction
Getting started with Kelvin
The Kelvin Legal Data OS is a legal data stack designed to help your organization manage legal data. But what is a legal data stack? And how can you actually use Kelvin to create value for your organization or its clients and customers?
The Kelvin Knowledge Base is designed to help you answer these questions. It is organized around the following sections:
Introduction
This section provides a high-level overview of the Kelvin Legal Data OS, including a description of:
- What is a data stack?
- How is a data operating system different from a data stack?
- What makes Kelvin a legal data OS?
- What types of organizations can benefit from Kelvin?
- What common use cases can Kelvin support or accelerate?
- What are the key components of Kelvin?
- How can you get started with Kelvin based on your role or technical skills?
If you are new to Kelvin or data stacks generally, you should start by reading the next section,
Who is it for?
If you are already familiar with data stacks and want to learn more about Kelvin, you should start by reading
How should I learn Kelvin?,
which provides a number of different paths through the Knowledge Base depending on your role and technical skills.
Drivers, Models, Libraries, and Apps
These four section provide more detailed description of the key components of Kelvin, including:
- Data Drivers: How to connect Kelvin to your data sources
- Data Models: How to use and extend common data models like SALI LMSS
- Libraries: How to use Kelvin’s libraries as Python modules or OpenAPI-compatible REST services
- Apps: How to use Kelvin’s built-in apps like the Document Index and Conversion Engine
Use Cases and Examples
This section provides a number of common use cases and examples illustrating how Kelvin can be used to solve real-world problems. It includes:
- Examples demonstrating how to use each Kelvin data driver
- Examples demonstrating how to use each Kelvin data model
- Examples demonstrating how to use each Kelvin library
Next Steps
Not sure where to start?
We recommend continuing to the next section.