+NOMOS

Project Objective

The +nomos project aims to develop an integrated digital platform that simplifies the management, analysis, dissemination, and accessibility of legal documents. Utilizing advanced Machine Learning (ML) and Natural Language Processing (NLP) techniques, the project focuses on:

• Automation & Enrichment: Automating metadata extraction and continuously expanding the legal document database.
• Innovation: Researching cutting-edge technologies tailored specifically to the unique requirements of Greek legislation.
• Structured Access: Enhancing user access to structured information for more targeted and meaningful legal research.
• Knowledge Insight: Providing a deeper understanding of the relationships between legal texts to support thorough legislative analysis.
• International Benchmark: Creating a structured database of Greek legal documents to serve as an international research benchmark.

Benefits & Features

The system is designed to significantly improve efficiency and reliability in legal text analysis. Key features include:

• Advanced Navigation: Automated summarization and thematic categorization for large document corpora.
• Research & Education Support: Access to comprehensive and up-to-date legal information.
• Legislative Support: Assisting legislators in monitoring existing frameworks to improve the quality of new legal drafts.

Transparency: Making legal documents more accessible to the general public to promote accountability and understanding.