  Constitutions are foundational legal documents that underpin the governmental
and societal structures. As such, they are a reflection of a nation's cultural
and social uniqueness, but also contribute to establish topics of universal
importance, like citizens' rights and duties (RD). In this work, using the
renowned GPT-3.5, we leverage generative large language models to understand
constitutional passages that transcend national boundaries. A key contribution
of our study is the introduction of a novel application of abstractive
summarization on a multi-source collection of constitutional texts, with a
focus on European countries' constitution passages related to RD topics. Our
results show the meaningfulness of GPT-3.5 to produce informative, coherent and
faithful summaries capturing RD topics across European countries.
