Machine-learning code and data for predicting U.S. Supreme Court justice votes and case outcomes from 1953–2013.
Time-evolving random-forest models of 240,000 U.S. Supreme Court justice votes and 28,000 case outcomes from 1816–2015.
Open source text annotation software created by the french supreme court 'Cour de cassation'
Programmatically access Indian court data. Search cases, download orders, and get cause lists across 700+ District Courts, 25 High Courts and the Supreme Court. Use Claude, ChatGPT etc. to query data directly from official sources for free.
Research code and data for an event-study analysis of stock-market responses to U.S. Supreme Court decisions.
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.
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.
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.
Agentic AI system for predicting events in the U.S. federal courts — motion outcomes, judge votes, and predicted reasoning.
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!)
MCP server for Polish common and Supreme Court case law via the SAOS API - verifiable citations for legal AI.
A statistical model of every U.S. Supreme Court judgement — 29k cases, 256k justice votes, 1791–2024 — as browsable YAML, with an ETL pipeline and a forecasting roadmap.
Real-time Supreme Court of the United States (SCOTUS) updates, analysis, and reporting.
Machine-learning models for Supreme Court Database issue and issue-area classification.
A diachronic analysis of legal metalanguage used by the U.S. Supreme Court from 1986 to 2019.
An analysis of U.S. Supreme Court case durations, focusing on predictive modeling and the impact of data leakage.
On the Uncertainty of United States Supreme Court Decisions
EVM Truth India – Dharmayudh Data Room | Real-time tracker of all anti-EVM fake narratives, PILs, Supreme Court cases, funding trails & instant counters from Bhagavad Gita & Manusmriti. Live evidence vault used by Election Commission officials, lawyers & citizens. 100% open source, censorship-resistant. यतो धर्मस्ततो जयः
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