Leges.AI improves the process of searching for connections within laws as users can find and compare laws by key words in the name of law, and key words and phrases within the text of law. It makes comparison and analysis of interdependencies easy.
The brains of Leges.AI are a process called Natural language processing (NLP). Computers can process millions of words per second and can read entire bookshelves in a minute. But this opens new questions.
- How can a computer program extract the meaning of a text?
- How can computer know what is important within the text?
- What is the main theme of the text?
- How to process specific language, connected to different areas (eg. Legal)?
To answer this kind of questions a subfield of computer science was created called NLP. Natural Language Processing is one of subfield of Artificial intelligence (AI) and it used for computer text processing. NLP deals with extracting useful information from text documents to give insight to large amounts of text data. Those algorithms are used in every Google search, in analysis of every response on social networks, in searching for a particular item in online stores, Chatbots for online support and many other areas where extracting information from text is important.
Leges.AI enables us to store existing legislation to dedicated database. AI algorithms help us with processing, so we can search and compare existing legislation and new drafted laws. The database can be extended anytime as users can import new laws easily.