Computer-implemented procedure for managing and updating regulatory digital textual documents, - said documents each defining a textual structure including at least one or more textual portions, one or more reference parameters defined by at least one article and/or a paragraph, and one or more metadata, - said procedure comprising: - acquiring a plurality of different said documents from at least one external database, - extracting said textual portions, said reference parameters and said metadata from each of said textual structures, - recognizing each said textual structure through a first logic implementing an artificial intelligence based on a supervised or zero-shot type learning approach, - performing a multimodal analysis of said textual structure, by means of said first logic, labeling each of said textual portions, said reference parameters and said metadata to validate said extraction phase, - identifying said reference parameters and/or said metadata through a second logic implementing an artificial intelligence to produce a digital representation conforming to the Akoma Ntoso specifications or other standard for encoding normative texts, - indexing said textual portions by associating each said textual portion with a respective said reference parameter and/or a respective said metadata realizing a plurality of indexed texts, - separately recording each said indexed text in an internal database accessible by at least one user, - logically connecting each said indexed text whose said reference parameters and/or metadata are mutually correlated within said database in such a way that, when said user consults said indexed text, said user can directly access each other said indexed text correlated to it, and characterized by further comprising - monitoring said external database with a predetermined time frequency so as to verify at least if said acquired documents have been modified and to carry out a further acquisition phase if said documents have been modified. - said documents each defining a textual structure including at least one or more textual portions, one or more reference parameters defined by at least one article and/or a paragraph, and one or more metadata, - said procedure comprising: - acquiring a plurality of different said documents from at least one external database, - extracting said textual portions, said reference parameters and said metadata from each of said textual structures, - recognizing each said textual structure through a first logic implementing an artificial intelligence based on a supervised or zero-shot type learning approach, - performing a multimodal analysis of said textual structure, by means of said first logic, labeling each of said textual portions, said reference parameters and said metadata to validate said extraction phase, - identifying said reference parameters and/or said metadata through a second logic implementing an artificial intelligence to produce a digital representation conforming to the Akoma Ntoso specifications or other standard for encoding normative texts, - indexing said textual portions by associating each said textual portion with a respective said reference parameter and/or a respective said metadata realizing a plurality of indexed texts, - separately recording each said indexed text in an internal database accessible by at least one user, - logically connecting each said indexed text whose said reference parameters and/or metadata are mutually correlated within said database in such a way that, when said user consults said indexed text, said user can directly access each other said indexed text correlated to it, and characterized by further comprising - monitoring said external database with a predetermined time frequency so as to verify at least if said acquired documents have been modified and to carry out a further acquisition phase if said documents have been modified. - acquiring a plurality of different said documents from at least one external database, - extracting said textual portions, said reference parameters and said metadata from each of said textual structures, - recognizing each said textual structure through a first logic implementing an artificial intelligence based on a supervised or zero-shot type learning approach, - performing a multimodal analysis of said textual structure, by means of said first logic, labeling each of said textual portions, said reference parameters and said metadata to validate said extraction phase, - identifying said reference parameters and/or said metadata through a second logic implementing an artificial intelligence to produce a digital representation conforming to the Akoma Ntoso specifications or other standard for encoding normative texts, - indexing said textual portions by associating each said textual portion with a respective said reference parameter and/or a respective said metadata realizing a plurality of indexed texts, - separately recording each said indexed text in an internal database accessible by at least one user, - logically connecting each said indexed text whose said reference parameters and/or metadata are mutually correlated within said database in such a way that, when said user consults said indexed text, said user can directly access each other said indexed text correlated to it, and characterized by further comprising - monitoring said external database with a predetermined time frequency so as to verify at least if said acquired documents have been modified and to carry out a further acquisition phase if said documents have been modified.