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  • Lectures

    Individual 30 minute recordings of LegalTech lectures including slide deck and additional materials. You can combine these lectures yourself to create your own LegalTech curriculum. There are three (3) types of lectures: (i) LegalTech, (ii) LegalTech Applications, and (iii) Information Retrieval and Text Mining. Some lectures contain two (2) recordings in order to keep these around 30 minutes. Lectures are of three (3) different levels: (i) Introduction, (ii) In Depth and (ii) Technical. When a ZyLAB-ONE hands-on is available, some supporting slides are included. More can be found in the XLS containing an overview of all lectures, duration and level. This XLS is part of the lecture-download ZIP file further that you can obtain in the download form.  Examples and more information on the ZyLAB Hands-On exercises  can be found here: ZyLAB 

  • Languages

    As LegalTech is a very anglo-american field of study, all slide decks and publications are in English. When a publication or slide deck is also available in Dutch, then it is included in the course materials. 

  • Recordings

    The first batch of recordings is done in Dutch. English version lectures will follow shortly. 

Start Here: What Exactly is LegalTech?

What is LegalTech, what is not? What are succesful applications of legalTech? Where does LegalTech come from and how does it related to Artificial Intelligence and Data Science? Where are the challenges and risks? How can these be addressed and best explained to students? A 25 minute video explaining it all!

Lectures on LegalTech

Lecture 1: Legal Big Data

Learn the history of Legal Big Data and why technology is relevant for future legal professionals

Lecture 2: eDiscovery (EDRM)

Learn about the eDiscovery Reference Model (EDRM), a worldwide standard for dealing with Legal Big Data problems

Lecture 3: A data Driven Approach to eDiscovery

It is no longer possible to review all documents from the beginning to the end taking a linear reading approach: (i) Humans are cognitively not fit for such tasks, (ii) the make too many errors, (iii) there are too many inconsistencies, (iv) It takes too long, and (v) It is too expensive. Learn how to use technology to support dealing with this complex tasks and implement a data driven approach as explained in this lecture. Doing this properly, will result in better, faster and more cost-effective document eDiscovery, information disclosure and legal review. 

Lecture 7: Artificial Intelligence for Legal Applications

Learn about the history of Artificial Intelligence, successes, challenges, risks, legal application and future requirements for acceptance. 

Lecture 8: Introduction to Legal Analytics

Legal Analytics: learn how text-mining can be used to analyze large volumes of legal documents to (i) organize your data according to "interesting" dimensions, assisting you to find answer to common legal questions, and (ii) to automatically redact or pseudonymize personal or confidential information.

Lecture 9: Better Search with Machine Learning

Learn how to use facet search, legal analytics, concept search and assisted review to review large sets of documents in eDiscovery. This lecture discusses the role of text mining (information extraction), unsupervised machine learning (topic modeling and clustering) and supervised (active learning) machine learning. Experience yourself why (Boolean) keyword will not help you to find all relevant documents that are out there. We also briefly touch legal defensibility and acceptance of these techniques in US and international courts. Essential technology for eDiscovery!

Lecture 10: Redaction and Secure Sharing of Information

Human beings are cognitively not suited to manually redact large number of documents. This will most likely result in errors and unintended disclosures exposing personal, confidential and privileged information. Learn how to select and use professional tools based on text-mining and machine learning for auto-redaction and secure productions, such as published by the NSA.

Lecture 11: On Legal Defensibility

Learn how to apply technology such as artificial intelligence legally defensible in legal applications

Lecture 13: Advanced Concepts in Legal Analytics

Learn how to truly understanding legal documents by understanding “legal concepts”. Detecting “legal concept” requires understanding of “language” in a legal context, which is other than normal human language. Understanding such “context” can only be taught to computer systems by using highly-context sensitive “deep learning” approaches. Recognizing legal concepts is the first step towards other more advanced LegalTech machine learning applications.

Lectures on LegalTech Applications

Lecture 20: Handling GDPR DSAR Forget-me and Cyber Breach requests

Learn how to use Legal Technology for information requests under the GDPR such as Data Subject Access Requests (DSAR), Forget-me Requests and how to inform victims of leaked personal information in case of a cyber breach.

Lecture 24 (in Dutch): Wob, Woo en Milieu informatie verzoeken

Leer hoe technologie het afhandelen van Wet Openbaarheid Bestuur (Wob) verzoeken, het beschikbaar stellen van informtie onder de Wet Open overheid (Woo) en het afhandelen van milieu informatieverzoeken en onderzoeken kan vergemakkelijken en de kwaliteit sterk kan verbeteren. 

Lectures on Information Retrieval and Text Mining

Lecture 30: How does a search engine work?

Learn about information retrieval and the inner workings of a search engine. A number of courses from Stanford's Christopher Manning following his book "Introduction to Information Retrieval". There is more, but this is a great start to understand how a search engine works!

Lecture 31: Precision and Recall

Learn how to measure the quality of a search engine or a text-mining process. Precision, recall, and more!

Terms and conditions of usage

Feel free to download the lectures (PDF, PowerPoint and additional resources) for reference and as inspiration to create your own LegalTech curriculum. Should you distribute the content to your students, then we would appreciate if you:

  • Create a link from your website to ours: 
  • Keep the existing references to on all our slides and lecture material.
  • Do not change the contents of the slides. You can remove or add your own slides to the lectures.
  • Do not charge any additional fees other then general university tuition fees for the participation in your lectures. We created this content for free and would like to keep it us such.
Additional terms and conditions:
  • Although these lectures may discuss legal issues, we are no law firms nor licensed attorneys and therefor we do not provide legal advice or services. This material should not be construed or used as such.
  • The opinions expressed herein are subject to change without notice. We strongly recommend that you consult your legal advisors before making any decisions about courses of action to be taken.
  • We shall have no liability for errors, omissions, inadequacies, copyrights, patents, intellectual property infringements or any other aspect of the the information contained in our lectures or for interpretations thereof. Should you use our materials, then you agree to indemnify, hold harmless and defend us, our officers and our employees, from and against all claims and suits by third parties, including damages, injuries, losses, and expenses, court costs and attorney’s fees related to such matters.
  • Any disputes shall be settled in the courts of the city of Amsterdam, the Netherlands and will be subject to Dutch law.

Download All Lectures

  • EDRM

    Empowering the global leaders of e-discovery, the Electronic Discovery Reference Model (EDRM) creates practical global resources to improve e-discovery: 


    The Association of Certified E-Discovery Specialists (ACEDS) provides membership, training and certification to e-discovery professionals around the world: 
  • Sedona Conference

    The Sedona Conference (TSC) is a nonpartisan, nonprofit 501(c)(3) research and educational institute dedicated to the advanced study of law and policy in eDiscovery under the Federal Rules of Civil Procedure:


  • CLOC

    he Corporate Legal Operations Consortium (CLOC) is a global community of experts focused on redefining the business of law. By helping legal operations professionals collaborate with each other and with other industry players, including law firms, technology providers, and law schools, CLOC works to help set industry standards and practices for the profession: 

  • ELTA

    ELTA's main objective is to strengthen legal technology (Legal Tech) at a European level. Our goal is to represent the interests of our members. The Association is actively involved in social and political debate in order to speak up for the concerns and interests of our members and to strengthen the position of legal technology in the European legal market. In so doing, we address topics that are relevant for the use and continuous development of legal technology, develop specific proposals, and advocates these vis-á-vis the political sphere, business, media and society: 

  • ILTA

    ILTA is a volunteer-led, staff-managed association with a focus on premiership. We aim to educate you and connect you with your peers to support your work in the legal sector. While we have a strong focus on technology, our offerings support professionals of every stripe in law firms and corporate/government legal operations: 

  • Stanford University Codex

    At CodeX, researchers, lawyers, entrepreneurs and technologists work side-by-side to advance the frontier of legal technology, bringing new levels of legal efficiency, transparency, and access to legal systems around the world. CodeX’s emphasis is on the research and development of computational law (complaw) — the branch of legal informatics concerned with the mechanization of legal reasoning: 

  • Stanford Legal Design Lab

    An interdisciplinary team at Stanford Law School &, working at the intersection of human-centered design, technology & law to build a new generation of legal products & services.

    Our Lab team researches and develops new initiatives that can make the civil justice system more equitable and accessible. 

  • ZyLAB

    Access and learn form the ZyLAB best practices for various legal use cases such as the GDPR, Data Subject Access Requests and Forget-me requests, handling Cyber Data breaches, Public Records Requests (Wob), competition requests or fraud investigations:  and