Ravel focuses on visualization-based search of legal data. Specifically, Ravel is a search platform for lawyers and law students with a clean, collaborative interface that provides visualization of how legal data (primarily cases) rank and connect. In addition, the platform offers features that enable annotation of case law and collaboration across caseboards. Ravel leverages recent advances in the fields of network analysis and data visualization to show not just a case’s relevance but also how case law evolves and how legal topics cluster.

For more information, please visit ravellaw.com

This project was led by Daniel Lewis and Nik Reed, former CodeX Fellows.

The descriptions of current and past projects of CodeX non-residential fellows are provided to illustrate the kind of work our non-residential fellows are carrying out. These projects are listed here for informational purposes only and are not endorsed by CodeX, Stanford Law School, or Stanford University.