Open source text annotation software created by the french supreme court 'Cour de cassation'

Capstone project for The Data Incubator ('18). Plots SCOTUS vs. public opinion polarity over time given keywords.

Text analysis designed to work with the R Street Institute's "Confirmation Hearings" dataset.

ML modeling to predict whether a US Supreme Court Justice will vote liberally or conservatively in a given case.

Downloads audio from Supreme Court of the United States (SCOTUS) arguments and generate podcast covers for each episode. It includes a script to download SCOTUS Arguments audio, another to generate the podcast covers, and a GitHub Actions workflow to run the scripts manually.

Name Entity Recognition to Extract Named Entities for Indian Legal Judgments. The solution can be used to find related Judgements, Acts, Articles, Order, Citiation and Rules and also support Natural Language Query to search across a huge database of Indian Legal Documents.

Exports of the Supreme Court Database into Python-friendly formats. (Mirror of https://dagshub.com/drmrd/scdb. Head there for datasets and a more complete experience!)

A diachronic analysis of legal metalanguage used by the U.S. Supreme Court from 1986 to 2019.

Real-time Supreme Court of the United States (SCOTUS) updates, analysis, and reporting.

An analysis of Supreme Court decisions in R to see how often they are overturned

Visualizing overruled US Supreme Court decisions with an animated timeline