At the Digital Legal Exchange, we work with the legal functions of some of the world's leading corporations to help them accelerate their digital transformation. Technology is a critical part of the toolkit. Legaltech Hub provides independent guidance and information to help corporate legal teams evaluate their options and inform their purchase decisions.

My Reed Smith colleagues and I have used Legaltech Hub to identify current providers of technology solutions. It is really helpful to view all the tools in one place, consistently categorised by solution type and key features.

Our involvement with LegalTech Hub has given us many leads and created speaking opportunities. The value of LTH goes way beyond a listing and leverages Nikki’s and Jeroen’s vast network.

A decade ago, it was reasonably easy to keep on top of what legaltech products were out there. No longer! Nikki, Jeroen, and team have built a comprehensive resource that legaltech buyers can use to find tech meeting their needs, and where vendors can get information in front of prospects at the relevant moment. Worthwhile offering from a respected (and excellent) group of people!

The legal tech industry is moving at such a fast pace and a big part of my job is to stay on top of it all. Legaltech Hub is my go-to resource for any research I need to do on new companies and products.

We want Casetext to be judged on its merits. Legaltech Hub levels the playing field, allowing attorneys and executives to objectively evaluate what we do.

Fireman &amp; Company's clients expect us to be current on the latest innovative technology solutions. It used to be difficult to navigate the legaltech market and explore new tools and platforms. Legaltech Hub changed that - I now have one place to go where I can easily find all the information I need.

Hacking for Allies

equinor

Ramsay Sante

Schjodt

Norway

English

Norwegian

Corporate Legal

Anzyz

Litigation

GDPR Compliant

Europe

Anzyz is an Artificial Intelligence company, which uniquely integrates supervised, unsupervised and manual rule based learning through a text analytical algorithm, called CCL (Corpus Cube Linguistics). CCL is self-learning and enables interpretation and understanding of the contextual meaning in Big Data. &nbsp;