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.

Frontend for a legal analytics dashboard with search, visualization, and document insight workflows.

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.

Legal Analytics solution built with Power BI, DAX and Power Query for executive and operational legal management.

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.

Multidimensional analysis of the Italian justice system workload (2003–2024). A study of civil and criminal proceedings using judicial pressure and litigation indicators.

Construction of regex patterns for Philippine statutory law.

Lex Machina — litigation analytics (LexisNexis-owned)