Legal Analytics | Language Technologies Lab

Legal Analytics

Fri, 27 Feb 2026 00:00:00 +0000

Argumentation and Argument Schema

We have defined legal arguments and developed benchmarks for training machine learning in automatically identifying them. Legal arguments are relevant to several legal tasks (e.g., judgement prediction) as they encode important decisions and opinions that are tailored to a given problem. Moreover, legal experts are interested in assessing if there are some recurring patterns concerning legal arguments. For instance, do similar documents convey similar legal arguments? Can we compare documents based on their arguments?

Judgement Prediction

The automatic prediction of the judge’s decision. We have developed benchmarks and assessed standard and transformer-based models on this task.

Interpretability

We have explored memory-augmented neural networks and decision trees to define more interpretable models, encouraging user trustworthiness based on explanations in addition to model efficiency.

Unfair Clause Detection

The automatic identification and classification of unfair clauses. We have developed benchmarks on this topic.

Summarization

Can machine learning models summarize legal documents based on certain guidelines? Are the developed summaries useful to legal experts?

Cross-linguality

We have developed some methods to project labels from similar documents written in different languages.

Information Retrieval

The automatic retrieval of legal documents and knowledge based on a similarity metric. This also link to the argumentation topic if we use arguments (either quantitatively or qualitatively) to compare and rank retrieved documents.

Legal Analytics for Italian Law (LAILA)

Sat, 01 Jan 2022 00:00:00 +0000

The project regards the application of Legal Analytics methods to a vast and heterogeneous set of legal information: legislations, contracts, and judgments. The purpose is the application of Artificial Intelligence, Machine Learning, and Natural Language Processing to extract legal knowledge, infer relationships, and produce data-driven forecasts.

Analytics for DEcision of LEgal cases (ADELE)

Fri, 01 Jan 2021 00:00:00 +0000

Project ADELE is premised on the ongoing paradigm shift towards cognitive computing and human-centered AI which is transforming many socio-economic activities, including justice. The project applies legal analytics (LA) – a blend of data science, machine learning, and natural language processing techniques – to judicial decisions. It aims to develop methods to extract knowledge and engage in outcome predictions and there build a pilot tool to support legal research and decision-making processes in the judiciary.

automated CLAUse DETectEr (CLAUDETTE)

Sun, 01 Jan 2017 00:00:00 +0000

CLAUDETTE is an interdisciplinary research project hosted at the Law Department of the European University Institute. The research objective is to test to what extent is it possible to automate reading and legal assessment of online consumer contracts and privacy policies, to evaluate their compliance with EU’s unfair contractual terms law and personal data protection law (GDPR), using machine learning and grammar-based approaches.