Artificial Intelligence not just a Buzzword

Al 3 decennia lang werken we samen met de meest prestigieuze klanten om hen te helpen met hun eDiscovery-uitdagingen.

35 jaar ZyLAB innovatie

Bij ZyLAB ontwikkelen we innovatieve oplossingen die altijd verder gaan dan onze concurrenten. Met behulp van nieuwe technologie bereiken we steeds weer hogere niveaus van automatisering, volledigheid, snelheid en gebruiksgemak. Dit komt voort uit het DNA van onze oprichters, maar ook vandaag de dag werken we nauw samen met onderzoekers van universiteiten over de hele wereld (waarvan sommigen werkzaam op onze R&D-afdeling).

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Automatisch antwoord op uw vragen?

Voor elk soort onderzoek moet je de voor de hand liggende vragen stellen, zoals Wat, Waarom, Waar, Wanneer, Wie, etc.
Zou het niet geweldig zijn om het antwoord automatisch van je systeem te krijgen en zelfs deze verschillende vragen te combineren?

ZyLAB biedt u momenteel:

Wat:                   Topic Modellen
Wie:                   Gemeenschapsdetectie
Waar:                Geomapping
Waarom:          Sentiment en emotie herkenning
Wanneer:         Tijdlijnen

Deze kunnen we ook combineren:

Wat – Wanneer     Topic Rivieren
Wie-Wie                  Clusters
Wie-Waarom         Sentiment herkenning per persoon

 

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AI-based analytics voor eDiscovery

AI-Based Analytics start een eDiscovery productiviteits revolutie







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ZYLAB assisted review

ZyLAB Assisted Review (ZAR) - ook bekend als Computer Assisted Review (CAR) of Predictive Coding - gebruikt een reeks algoritmen om documenten te zoeken en sorteren die relevant zijn voor gegevensonderzoek of eDiscovery. ZAR maakt ook gebruik van Machine Learning.

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Discover eDiscovery (4)

Kunstmatige intelligentie voor 
fusies en overnames

Geavanceerde technieken helpen tijdens dit proces.





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Jaap van den Herik
Professor of Computer Science and Law, Leiden Centre of Data Science, Leiden University

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. 

The audacious researcher nowadays attempts to get grip on the differences between  confidential data and privileged data  (note, this task is currently still too difficult for the  genuine computer programs!), so that many e-discovery hours spent by human beings can be saved by the ZyLAB’s front-ranked research.

If some firm or  research environment is able to crack this hard nut,  it will be ZyLAB.

Mitra Baratchi
Assistant professor, Leiden Institute of Advanced Computer 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. Next to being inspiring, such sessions have previously led into successful internship and graduation projects allowing more collaborations between ZyLAB and Leiden University researchers. The result of these collaborations are often twofold, leading into useful software products, as well as, academic publications. What I have noted and appreciated the most during this process has been the enthusiasm of  ZyLAB CSO, prof. Jan Scholtes, in employing the cutting edge AI research trends for eDiscovery and contributing to them. 
Ivar Timmer
Associate Professor Master Legal Management, Amsterdam University of Applied Sciences; Chairman Legal Tech Alliance LLB-programs Dutch UAS

In our research program on legal management at the Amsterdam University of Applied Sciences we are closely monitoring developments in the legal practice. One of the goals of our research is to ensure that our legal programs incorporate all essential knowledge and skills that modern, practice-oriented legal professionals need. Our research shows clearly that the use of eDiscovery software legal practices will only increase.

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.

Suzan Verberne
Assistant Professor, Leiden Institute of Advanced Computer Science, Leiden University and Chair 2018 Dutch-Belgium Information Retrieval Workshop

The focus of my research group is on text mining and retrieval problems in complex domains. We work with a large diversity of textual data: grey literature reports, scientific and legal publications, EU law texts, health records, user-generated content on social media. We highly value the involvement of domain experts in our research. In our opinion, Data Science can only be of societal relevance if users from the topic domain are actively involved in research projects. ZyLAB is one of our partners, for student projects and research proposals.

eDiscovery is one of the most challenging application areas of my research. As supervisor, I enjoy the collaboration with ZyLAB because of their active attitude towards academic work, and Johannes Scholtes' decade-long experience in the field of text mining.

Claartje Rasterhoff
Assistant Professor Urban History and Digital Methods, University of Amsterdam

It’s been a great pleasure to collaborate with ZyLAB in exploring the potential of data science for unlocking cultural heritage.

In the pilot study Stedelijk Museum Text-mining Project, together with the Stedelijk Museum Amsterdam and University of Amsterdam, ZyLAB's CSO Jan Scholtes enthusiastically encouraged students, staff, and scholars to push the frontiers on retrieving and analysing information from the most complex sources you can imagine.

These exercises resulted in highly useful insights in the affordances of new methods, expanded the knowledge of the archive, and many pleasant and inspiring meetings.

Ellen Oudejans
Docent recht, HBO Rechten Amsterdam

Bij HBO-Rechten van de Hogeschool van Amsterdam leiden wij - docenten - onze studenten op voor professionals met ‘state of the art’ kennis en vaardigheden.

En zo leren wij bij en van ZyLAB. Er gaat dankzij ZyLAB een grote en geweldige wereld voor ons open en voor onze studenten, voor wie Artificial Intelligentie, eDiscovery etc. straks geen magische begrippen meer zijn.