  Being able to clearly interpret legal texts and fully understanding our
rights, obligations and other legal norms has become progressively more
important in the digital society. However, simply giving citizens access to the
laws is not enough, as there is a need to provide meaningful information that
cater to their specific queries and needs. For this, it is necessary to extract
the relevant semantic information present in legal texts. Thus, we introduce
the SNR (Semantic Norm Recognition) system, an automatic semantic information
extraction system trained on a domain-specific (legal) text corpus taken from
Portuguese Consumer Law. The SNR system uses the Portuguese Bert (BERTimbau)
and was trained on a legislative Portuguese corpus. We demonstrate how our
system achieved good results (81.44\% F1-score) on this domain-specific corpus,
despite existing noise, and how it can be used to improve downstream tasks such
as information retrieval.
