Introduction of Natural language processing

Hello everybody and welcome to week two of the A. I. from the professionals course again. This is part two are a two part series on A. I. for the professionals, they are part one and part two are separate, so you don’t need to go back and take part one for part two. So in this week what you will learn is natural language processing in the law (NLP) the whole week. So the first will give a brief introduction to natural language processing and machine learning techniques in the law.

And then what about case outcome prediction, analysis about judges, lawyers, parties and the subjects of cases, so basically what can we learn from information about judges, the judgments that judges promulgate the type of cases, that lawyers take an ad about parties and the subject of law. Then we’ll talk about automatic legal text summarization, information extraction from legal documents, and this idea of legal document in bedding and representation. Then we’ll talk about identifying relevant case law, and a citation analysis, and this is kind of typically interesting to me. In that, we are finding a network between different cases based on citation.

There is a way to take citation and build connections, and learn about the connections in way that are useful for legal practitioners. This network is also used to connect statutes and regulations, it’s also used to build relationships between people through their communications, through their emails, that’s sort of thing. Then we will talk about researching are using natural language processing, and how it related to research, searching, curation, and review of legal documents whether it be cases statutes secondary sources etc. And basically how knowledge, how do we acquire knowledge, knowledge acquisition.

Then we’ll wrap up with recommender systems in the legal applications, that is talking about what is relevant for legal practitioners, and what’s useful for systems to recommend to legal practitioners, and even our people who aren’t legal practitioners. And we’ll talk about this kind of Q&A concept, where AI, you can feed AI a kind of question and get an answer, that answer could be the answer to a question or a suggestion on a path to take. So again welcome to week No.2. thanks everybody take care and have fun.