Computational Law Research and Development
This open public research and development site explores the emerging field of computational law and legal informatics as social science, technical capability and business innovation. This site is curated by MIT Media Lab's Dazza Greenwood as part of Prof. Alex "Sandy" Pentland's MIT Human Dynamics Lab work on Social Physics and Connection Science, with emphasis on the legal and policy dimensions of big data and personal data markets and ecologies.
ABA-MIT Online Legal Appathon
Join us in a novel collaboration with the American Bar Association Techshow for the "Online Legal Appathon" and innovate the field, practice and service of law. Signup to learn more or participate at: LegalAppathon.com and law.MIT.edu/Appathon today.
Research Spotlight: Temporal Public Data Exploration of US Code
Use the below interactive public data visualization tool to compare the rate of change in each title of the US Code. This visualization tool is being shared now as an example of how law can be presented as data in a way that enables any person to do basic data exploration. Note however, the underlying data is still in the process of being cleaned and not yet reliable as an accurate measure.
Ongoing Research: Uniform Law Adoption Analytics
There are many facets of the law to which data science and computational legal science methods can be applies and many aspects of such science that can be applied to any given facet of the law. One of the promising entry points being pursued by the Legal Science research team here at the MIT Media Lab is with an important body of statutes known as "Uniform Law". The #LegalScience research team is now commencing a research study to explore the data and systems comprising uniform laws of the states and territories of the United States.
Preliminary Uniforn Law Analytics and Visualizations
Please Share Your Comments/Questions/Ideas?
For more information:
Law.MIT.edu Google+ Page
- MIT Human Dynamics GitHub Repositories: FreeLaw and System Rules
- Other relevant resources: