Day-by-day programme

Part 1 (9.00 - 12.00 a.m.)
Welcome and Key note: why legal technology and legal innovation?
During this first course the participants are welcomed and the importance of legal technology and legal innovation for the legal world will be explained.

Teachers: 

• Jan Blockx (University of Antwerp, Faculty of Law)
• Thomas Aertgeerts (Legal Innovation and Technology lawyer, Aeco) 
  
  

Part 2 (1.00 - 4.00 p.m.)
Basic principles of Python
In the afternoon session, the basic principles of Python will be explained.
With simple exercises, the participants will learn to code short programs using the Python language independently. 

Teachers: 

• Toon Calders (University of Antwerp, Faculty of Science, Department of Computer Science)
• Ewoenam Kwaku Tokpo (University of Antwerp, Faculty of Science, Department of Computer Science)

Part 1 (9.00 - 12.00 a.m.)
Basic principles of Python - part 2 

Teachers: 

• Toon Calders (University of Antwerp, Faculty of Science, Department of Computer Science) 
  
• Ewoenam Kwaku Tokpo (University of Antwerp, Faculty of Science, Department of Computer Science)

Part 2 (1.00 - 4.00 pm) 
Applications and challenges of LegalTech in law practice 
During this session several legal start-ups explain how they apply legal technology and legal innovation in their business and service offer. 

Teachers: 

• Thomas Aertgeerts (Aeco)
  
• Maarten Truyens (ClauseBase)
• Dries Wijnen (lawren.io)
  
  

Part 1 (9.00 - 12.00 a.m.)
Decision trees and lawyers 
Lawyers daily use decision trees in their law practice, sometimes without being aware of it. 
During this session the participants learn to code such a decision tree in Python.

Teachers: 

• Sylvie De Raedt (University of  Antwerp, Faculty of Law) 
• Ewoenam Kwaku Tokpo (University of Antwerp, Faculty of Science, Departement of Computer Science)
  
  

Part 2 (1.00 - 4.00 p.m.)
Predictive algorithms 
During this session we jump from decision trees of lawyers to computer science. 
We go deeper into the way a computer can make decisions or predictions. 
Using these insights it will be explained how algorithms are applied to predict court decisions.

Teachers: 

• Jan Blockx (University of  Antwerp, Faculty of Law) 
• Ewoenam Kwaku Tokpo (University of Antwerp, Faculty of Science, Departement of Computer Science) 
  

Part 1 (9.00 - 12.00 a.m.)
Smart Contracts: legal analysis 
During this session smart contracts will be analysed from a legal perspective. 
What is a smart contract?
What is the legal value of a smart contract?
What are the legal complications when applying a smart contract? 

Teacher:  

• Jan Blockx (University of Antwerp, Faculty of Law)
  
  

Part 2 (1.00 - 4.00 p.m.)
Legal Design Thinking
During this course the concept of legal design thinking will be clarified.
With examples and short exercises, the participants will explore the broad applicability of this concept to legal problems, legal products, legal services, legal processes and communication. 

Teacher:  

• Dominique Meert (The Visual Lawyer)

Part 1 (9.00 - 12.00 a.m.)
Smart Contracts: technical analysis
During this session we go deeper into the technical aspects of a smart contract. 
The participants learn how to put the basic principles of coding a smart contract into practice. 

Teacher: 

• Toon Calders (University of  Antwerp, Faculty of Science, Departement of Computer Science) 
  

Part 2 (1.00 - 4.00 p.m.)

LegalTech Game
Participants will take part in a “LegalTech Game”.
Participants who successfully pass this test after continuous class participation will be awarded with a “Legal Technology and Legal Innovation” certificate and 3 ECTS credits. 
All certificates of completion are issued as a micro-credential.

Part 3 (4.00 - 6.00 pm) 
Closing ceremony