Over the last 3 decades we worked with the most prestigious customers to help them with their eDiscovery and FOIA challenges.
At ZyLAB we develop innovative solutions that always go beyond what our competitors do, using new technology to seek higher levels of automation, completeness, speed and ease of use. This originates from the DNA of our founders. Today we work closely together with Universities around the world and have their researchers work in our R&D department.
And go even further in combining the various dimensions? No matter the type of case or investigation you need to ask the obvious questions: What, Why, Where, When, Who, etc.
What: Topic modeling
Who: Community detection
Where: Geo mapping
Why: Sentiment and emotion mining
When: Time lines
but also the:
What–when Topic Rivers
Who-Who Clustering
Who-Why Sentiment mining per person
AI-based analytics ignite an eDiscovery productivity revolution. State-of-the-art innovations mean more work gets done with less manual input.
ZyLAB Assisted Review (ZAR) – also known as Computer Assisted Review (CAR) or Predictive Coding – uses a series of algorithms to search and sort documents relevant for data investigation or eDiscovery.
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Based on large data sets train the machines, this way we can support automation of the best practice use cases.
Different types of unstructured data can surface during case, which means different means of extraction are required. ZyLAB ONE is compatible with almost every type of data, and can extract meaningful information easily.
eDiscovery is a global and often multilingual practice, which is why ZyLAB is built to support and accomodate a vast amount of languages.
Based on our extensive experience we can translate your need for automation to the use of AI, making your processes both faster and more consistent.
At the Law Department of the Amsterdam University of Applied Sciences our students are educated to become legal professionals able to use ‘state of the art’ knowledge and skills.
As part of this education, we also train them using the ZyLAB ONE software on our LegalTech lab. By using the ZyLAB software, they enter the exciting and wonderful new world of LegalTech.
- Ellen Oudejanse, Associate Professor, Law Department, Amsterdam University of Applied Sciences
ZyLAB's smart technology is most prominently expressed in its e-Discovery applications. In the Netherlands and also in the world at large, ZyLAB is a front runner firm that inspires many dedicated researchers to develop their talents.
- Jaap van den Herik, Professor of Computer Science and Law, Leiden Centre of Data Science, Leiden University
Over the course of past years, I have enjoyed the cooperation with ZyLAB in organizing a number of sessions for introducing the topic of "AI for eDiscovery" to the young talent at Leiden University. My students and I, always enjoy the hospitality of ZyLAB and, more than that, seeing the passion and responsibility they put into their work.
- Mitra Baratchi, Assistant professor, , Leiden Institute of Advanced Computer Science, Leiden University
Working with cutting edge eDiscovery software such as ZyLAB is therefore an indispensable part of modern professional legal education. We are proud to have ZyLAB as one of our partners in our Legal Tech Lab. They help us prepare our students for the new normal in legal practice.
- Ivar Timmer, Associate Professor Master Legal Management, Amsterdam University of Applied Sciences; Chairman Legal Tech Alliance LLB-programs Dutch UAS
It’s been a great pleasure to collaborate with ZyLAB in exploring the potential of data science for unlocking cultural heritage.
- Claartje Rasterhoff , Assistant Professor Urban History and Digital Methods, University of Amsterdam
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