Spui, Amsterdam, Netherlands
ADS Coffee & Data: Legal Tech
Date: Friday 19 January
Location: Spui 25, 1012 XA Amsterdam, Netherlands
ADS Coffee & Data offers the opportunity for researchers and business to share their knowledge and give insight on a central theme, specifically on Friday 19 January this will be on Data Science in Legal Tech. The event will be an opportunity to gain insight on the potential of data science in law and legal practice. There is also a chance to network with a cup of coffee.
Introduction & Chair: Marc Salomon, Dean of the Amsterdam Business School, Professor in Decision Sciences and Program Director of the MBA in Big Data & Business Analytics, UvA
10:00-10:25: Hans Spaan, Director ORTEC Data Science
“LegalTech: is it a dream?”
A short trip along the inspiring examples of legal innovation and a glimpse of some work in progress.
Bio: Hans Spaan is a Director at ORTEC Consulting. Hans has over 30 years of experience as a consultant, C-level executive and supervisory board member. He has worked with many organisations on developing innovative approaches to business development and restructuring strategies and execution. He holds supervisory and advisory board functions in the building materials industry, fashion, facility services and in a social venture. Prior to that, Spaan was (interim) CEO and CCO in the luxury business, food & feed and fashion industry.
10:25-10:50: Julien Rossi & Evangelos Kanoulas, Full Professor, Department of Operations Management, Amsterdam Business School & Assistant Professor, Informatics Institute, UvA
Search in Legal Documents
Search algorithms are intelligent agents that aim to locate and deliver the right information to the right people. Search has come a long way during the past decades, demonstrated eminently by the success of web search engines. There is a plethora of professional domains, however, that do not resemble the standard web search characteristics. In law, intelligence analysis, security or patents, finding the right information is challenging in a number of ways: (C1) Use cases in these domains require ALL relevant information to be found; (C2) Users are not fully aware of what they are looking for, or what is in the digital repositories, which makes expressing their need an onerous task; (C3) Algorithms need to make decision of what is good for the user and what is not only on the basis of text. In this talk we will present our view on how we can tackle these challenges. Further, we will discuss the case of search for prior art during the process of patent applications as an exemplar case of some of the built technology; a project in collaboration with the European Patent Office.
10:50-11:15: Margreet Poot, Head of Legal Operations, & Peter van den Heuvel, Head of ICT & Facilities, De Brauw Blackstone Westbroek
Big data analytics in big law; big change?
Over the last year, LegalTech has become a buzzword with AI at the heart of the discussion. Some state that lawyers’ jobs will change radically and will be taken over by robots in due course. Others reply that LegalTech is far from doing just that. What is the impact of LegalTech and AI for De Brauw as big law firm in a B2B setting?
It is clear that in Legal services, offering capacity and scalability is no longer a matter of putting more bodies on the job. Technology makes it possible to automate repetitive actions. The most impactful results and dynamics are seen in consumer oriented solutions. Examples are spin-offs of De Brauw’s Legal Innovation Challenge (BLIC). Previous winner App-jection built an app to object against traffic fines. Last year the competition was won by Law-speak: a tool that will make it easier for legal practitioners to write comprehensible language by giving real-time suggestions for ‘simplifying’ archaic and difficult words or phrases. In the field of data analytics, contestant Lex-IQ offers solutions comparing simple law suits to predict the outcome or possible success rate on domestic issues. The business model of these start-ups is built on charging small amounts on big volumes or receiving governmental fees. In the arena of bigger law firms we see different developments due to an increased demand for alternative fee models and the related drive for cost efficiency. This results in automating repetitive activities like document review, document sorting and document automation.
Another area that will be impacted by these developments is legal research. The search for relevant information is less repetitive, however labour intensive. That is even more so, where research is performed into insights and experiences from previous matters handled by a law firm. For example: what was our advice in an earlier comparable case, or how does this position in negotiations compare to previous positions taken by our opponent? Answering these questions relies heavily on knowledge of the legal matter and latest developments, relevant circumstances at hand, previous cases and the body of data available. For a large part, this knowledge is in the heads of our expert lawyers. Yet, both lawyers and clients expect it to be readily available and form the starting point of new advice. It is a challenge to explore how we can automate and improve this process of research into insight and experience with data analytics and AI. The first pilots using AI are promising, but demonstrate that it is early days too. Challenges lie in exploring whether we have sufficient data available, how clean or enriched our data needs to be and to what extent solutions will be able to move from rule based to true data analytics. Join us in our explorations, and find out if you can help us rise to the challenge.
11:15-11:45 Coffee & Networking
Registration is free but please do so in advance through Meet-up
The event will be in English and is open to all
Amsterdam Data Science (ADS) accelerates data science research by connecting, sharing and showcasing world-class technology, expertise and talent from Amsterdam on a regional, national and international level. Our research enables business and society to better gather, store, analyse and present data in order to gain valuable insights and make informed decisions.
Find out more about ADS at https://amsterdamdatascience.nl