AI Team Lead @ Plain Concepts UK. Data Engineer and PhD in Artificial Intelligence by Universidad Politécnica de Madrid. His thesis focuses on the application of collaborative artificial neural networks to optimize electrical demand. He has published several articles about applications of AI algorithms in international journals. He has developed for more than 10 years studying and applying several AI algorithms and techniques for a wide range of areas like digital signals, robotics, image processing or natural language processing. Finally, he has also developed different applications with virtual assistants and chatbots to improve everyday worker’s tasks.
Recently, there is a growing interest in applying AI in sectors that traditionally have been reluctant to use technology. The legal sector is one of them. Machine learning approaches are used to improve the work of entry-level lawyers. One application consists on extracting relevant information from the tones of documents that law firms possess for a case. In this talk, we are going to present a way to process unstructured data by means of Azure Cognitive Search and Databricks/MLFlow in order to extract that information to the lawyers. Another application relies on a solution for a class action case in which the law firm requires to select lead cases in order to represent the whole set of claimants in courts. This kind of cases consists on hundreds, or even thousands, of claimants. Different optimization approaches can be used for this case. We are going to talk about the one that we followed and implemented in Databricks/MLFlow. In summary, different uses of the AI are presented to help legal sector in its modernization.