The main innovation of the project is to make the legal rules consumable by digital systems, so they can be used by services and citizens. The instantiation of two concrete practical cases: the access to the Consumer Rights and the Retirement Statute, allows to give answers to questions that a normal citizen asks, without having great technical knowledge about the mentioned laws.
The adoption and availability of these new paradigms will be a key component in the digital transformation of governments, particularly as we seek to integrate service delivery, automate the exchange of information and decisions, ensuring government transparency, responsiveness and accountability.

The innovation is currently under implementation.

The project was developed by a multidisciplinary team, including INCM researchers with extensive technical and business knowledge, researchers from INESC-ID and the Data Science Knowledge Center of the Nova School of Business & Economics, as well as the Directorate General of Consumer Affairs itself, ensuring unique technical and scientific skills for the project's success.

The main user and beneficiary of the project is the citizen himself, who has at his disposal an easy-to-use service that allows him to have answers to questions regarding Consumer Law, or the Statute of Retirement, through search algorithms and semantic treatment of the information contained in the Law.

It is also a project that contributes to the scientific advancement and knowledge creation of graduate students in the area of natural language processing.

Regarding the functional prototype of the Retirement Laws, a conversation tool was developed that will incorporate the most relevant conversation flows in the selected context; the conversation flows according to the rules derived previously and the development of mechanism for detecting changes in legislation. It was concluded that the type of technology applied is adequate and has the potential to increase the tools available to access legislation, especially for non-legal professionals because it performs a semantic search.

Regarding the Consumer Law prototype, further testing demonstrated that the Legal Semantic Search Engine (LeSSE) can improve, even without available query examples, using a technique developed in the context of this project. With this technique, a semantic representation is automatically extracted from legal texts, and then used to automatically generate sets of semantic pairs (questions/answers) that will be used later.

There were no significant deviations in the project, being part of the project's future plan, the training of the developed models to improve the possible search queries. Since this is an application of Artificial Intelligence techniques (Natural Language Processing), there is a need to integrate the largest number of query results and the respective annotations in the models, in order to robust the quality of the results obtained.

The results obtained are very promising and show that the use of semantic-based approaches has a strong potential to improve the retrieval and search systems for Portuguese law. The use of more advanced techniques and a broader training, with a larger corpus of legislation, may enable the increasing adoption of this new paradigm in the consultation of legal information, by citizens.

Citizens may have difficulty interpreting a given piece of legislation available to them. There are some approaches to meet this challenge; for example, the governments of Singapore and Israel or Stanford University and Aberdeen University (among others) and software companies are working on projects to turn legislation into reusable software code, empowering the delivery of digital services with the application of AI techniques.

There will have to be greater investment in the application of more advanced techniques. From experience with the project, success will be achieved with:

• Investment in knowledge to find more efficient ways to analyze legislation and the complexity associated with capturing, the calculation rules of a given law;
• Greater investment in computing infrastructure, given the technological complexity inherent to the massive treatment of data, cataloging and classification of the same;
• Dissemination of the potential of these solutions."

The work done in the project has never been done before for legislative documents written in Portuguese, as far as our research allowed us to ascertain. However, being a project with a high innovation component, it also carries a high risk and it is not possible to guarantee that all objectives will be met in an entirely satisfactory manner.

A major challenge will correspond to the creation of a set of training texts corresponding to the required characteristics, starting from the body of legislation on consumer law and replicating it to other areas of law.

Replication for other areas of law can also be enhanced by the use of deep learning techniques, but these rely on large resources, such as large amounts of data and processing power.

The adoption of this type of technology in legal information search engines is pioneering, even at an international level, showing that technology can be used to assist citizens in common tasks of searching for information about their rights, even those with little digital literacy, as it abstracts the user from the advanced technologies that support their searches.

It should also be noted that the project had a high degree of dissemination, INCM having presented the project in two international conferences, namely the Digital Transformation in Migration EMN Annual Conference and the European Forum of Member State Official Journals and the EU Publications Office.

INCM is finalizing a White Paper that addresses how artificial intelligence and NLP techniques affect and improve the way the citizen interacts with the Electronic Official Gazette, as well as the impact on the quality of legal search engine results.