Our engineering team is pioneering new ways to work with legal data.

Data Science

Our engineering team is pioneering new ways to extract value from legal information.

Natural Language

Ravel uses deep expertise in computational linguistics, language analysis, and annotation to extract the legal knowledge graph from unstructured data and understand the letter and spirit of United States caselaw.

Machine Learning

We organize, summarize, and mine United States caselaw using modern machine learning techniques.

Data Engineering

The Ravel engineering team uses Scala, Spark, MongoDB, on SolrCloud on AWS to analyze the law and deploy our responsive API. We are active in related open source communities.

Design and Law

Ravel marries innovative methods, proven best practices and disciplined craft to reimagine the legal landscape.

Data Visualization

We illuminate the relationships embedded in the American legal system making them easier to understand and work with.

Participatory Design

With roots in Stanford's, Ravel's collaborative processes bring together lawyers, designers and engineers.

Agile Development

Our approach to product development is iterative and agile. We view design and engineering as practices grounded in active dialogue.

Ravel Engineering

Go behind the scenes with our best and brightest

Read More on Our Engineering Blog

Categorizing the Law
Introducing Court Analytics