Lawrenza is er voor advocaten die tijd willen besparen en de juiste tekst op het juiste moment, in enkele seconden, willen vinden tussen miljoenen juridische publicaties. Schrijf je in als je ondersteund wilt worden door een tool die je helpt bij het beheren van je dagelijkse leven!
Lawrenza responds with a memo, citing the sources she deems relevant with a link to find them in detail. You thus benefit from assistance offering you quality content available 24 hours a day, so that you can focus on your listening and advising profession. Lawrenza is here to help you!
Thanks to its voice interface, it is very easy to ask Lawrenza a question. Our system also puts at your disposal a whole series of tools to help you in your daily life: document analysis, email sorting, timesheet, invoicing, task management… We have implemented the best technologies to help you optimize your daily.
FAST AND TARGETED
Lawrenza allows you to focus on your added value. In addition, it learns continuously through your research and the way you work, and adapts to it to help you even better. To answer you, Lawrenza refers to the large database updated automatically: laws, case law, doctrines, your internal files, memos…
Lawrenza does your documentary research. Simply download the journals and publications you read regularly to your personal files: Lawrenza will analyze and retain them for you, and will continually learn from your research and the documents you produce.
Natural language processing (NLP) allows applications to interact with human language using a deep learning algorithm.
DataVec vectorizes various file formats and data types using an input/output format system similar to Hadoop's use of MapReduce; that is, it turns various data types into columns of scalars termed vectors.
Machine Learning Model Server
Deeplearning4j serves machine-learning models for inference in production using the free developer edition of SKIL, the Skymind Intelligence Layer.
Deeplearning4j includes implementations of term frequency–inverse document frequency (tf–idf), deep learning, and Mikolov's word2vec algorithm, doc2vec, and GloVe, reimplemented and optimized in Java.
Real-world use cases and integrations
Real-world use cases for Deeplearning4j include network intrusion detection and cybersecurity, fraud detection for the financial sector, anomaly detection in industries such as manufacturing and advertising,and image recognition.
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Lawrenza is an artificial intelligence developed by and for lawyers, to enable them to provide more relevant, more comprehensive, and faster answers.