Law students learn to make decisions based on facts and not on assumptions and guesses. But, now and even more in the future, such legal fact-finding, the answering of information requests and discovery, will be done in large sets of electronic data. Future legal professionals need to be able to deal effectively with such large data sets using eDiscovery technology.
ZyLAB’s University Partner program is designed to assist professors teaching their students such skills in the context of real-world legal use cases, using the world’s market leading eDiscovery technology.
A curriculum created by European Universities and based on technology that is trusted by thousands of high-profile legal organizations such as the UN-War Crimes Tribunals and the European Commission Anti-Fraud OLAF office, but also corporations, law firms, governments and service providers world-wide.
We provide students with a proven curriculum of Legal Big Data course ware developed with law professors and based on various legal use cases such as eDiscovery for litigation & arbitration, the handling of Public Records Requests (Freedom of Information Acts), handling of Competition Information Requests, Internal and Regulatory Investigations, Data Subject Access Requests (DSAR), Informing victims of data breaches, Data and file analysis for GDPR compliance, automatic GDPR redaction & anonymization, and more.
The program is created and managed by Prof dr. Johannes C. Scholtes, who holds the extra-ordinary Chair in Text-Mining of the Artificial Intelligence group at the Department of Data Sciences and AI from the Faculty of Science and Engineering at the University of Maastricht. He is also involved in the creation of the Executive Master Legal Technologies of the Faculty of Governance and Global Affairs of Leiden University. As an international eDiscovery professional, Scholtes acts as president of the Benelux Chapter of the Association of Certified eDiscovery Specialists (ACEDS) and is a member of the Advisory board of the Electronic Discovery Reference Model (EDRM) framework association.
Access for your students and tutors to our best-in-breed eDiscovery solution.
We offer projects as part of an internship or graduation program, either with ZyLAB or with one of our partners or clients.
For both students and professors, we offer training and certification to become a ZyLAB Authorized Reviewer. This could also be made part of a graduation or assessment should your exam committee allow for such external assessments.
In addition to access to our solution and training, full solution support and access to relevant documentation will be made available.
Two professors from the field of Data Science and Artificial Intelligence, provide an overview of the state of affairs and possible future developments for applications of big-data analytics in eDiscovery.Read the booklet →
Machine learning essentially allows us to train computers to find what we need, almost like a K9 police dog. In this white paper, we show you how we do that.Read the paper→