In recent years there has been talk of Artificial Intelligence (AI) in the legal sector and its applicability in various areas, from predicting the meaning of judgements or predicting the time taken to obtain a ruling to drafting AI-based contracts.
This technological boom has made law firms adapt their hardware and processes, being a sector that finds it difficult to break with tradition and adapt to change. The implementation of Lexnet in the Public Administration has caused a change in the conception of the sector, being more and more technological and innovative.
The main problem that law firms face in the implementation of these projects is their applicability to specific processes and the truth is that it is not an easy task. Therefore, it is necessary to create interdisciplinary groups in which programmers, lawyers and mathematicians are integrated, this being the perfect formula to place the AI in real projects that can contribute to a disruptive solution within the office.
This is why we have been working for some years on the applicability of machine learning to the management of court decisions. The volume of data and the work carried out by our lawyers has shaped an endless amount of disaggregated data, data that separately do not provide value but that, as a whole and with the applicability of machine learning, may allow us in the near future to predict the type of judgement that we will receive and when it will be given.
At Lexer, we firmly believe in innovation and technology as tools for change and our commitment to new projects has led us to be nominated last year at the Expansión awards as the most innovative firm and by the Financial Times at its Europe Innovative Lawyers awards