Tesi triennale Alberto Zerbinati, Simone Mosco. Relatore prof. Andrea Loreggia. @unipd

Law is mostly tree-based. This library facilitates the creation of codifications, statutes, and documents in the form of trees.

Docket citation regexes from Philippine Supreme Court decisions

AI-powered legal case predictor with SVM + Gemini API integration for summaries and prediction insights. Built with Streamlit.

A simple legal case outcome prediction project using Logistic Regression, NLP and TF-IDF vectorization on case facts text data. Includes model training, evaluation, and feature importance visualizations to interpret influential words impacting the prediction.

This is a dependency: a regex date formula and decoder for dates referenced in related libraries: citation-report and citation-docket. The latter libraries parse long-form court decisions for Philippine Supreme Court citations.

Plataforma modular de inteligência jurídica que transforma textos em insights estratégicos usando IA, NLP e jurimetria. Integra análise, aprendizado e aplicação prática para apoiar decisões fundamentadas.

Parse legal citations having the publisher format - i.e. SCRA, PHIL, OFFG - referring to Philippine Supreme Court decisions.

Analytics dashboard for in-house legal teams to track matter workload, outside counsel spend, cycle times, and team utilization with interactive charts and CSV/Excel import.

Construction of regex patterns for Philippine statutory law.

AI-powered legal analytics platform providing free access to comprehensive judge data, case outcomes, and courtroom insights for legal professionals