Programme

Abstract: The presentation will identify different legal fields (including public, private, and criminal law both on the national and transnational plane) for which Artificial Intelligence-issues play an important role. Based on this assessment, current legal attempts to “govern” Artificial Intelligence will be introduced and the urgent need for relevant interdisciplinary research projects will be addressed.

Abstract: The growth of AI in law is transforming the legal profession. The discussion will reveal the different ways in which AI is currently applied in the legal profession and how technology providers are trying to streamline the work for legal practitioners. The discussion will also focus on the five major legal fields which are seeing disruption with the implementation of AI. It concludes with thoughts on what needs to be done to change AI from a Buzzword to a staple of legal practice and make it more accurate, precise and affordable.

Abstract: Over the last years AI has made phenomenal progress in many domains. However, it seems that automating legal decision-making is still a daunting task that even very promising Machine Learning and NLP-efforts have not solved. This talk will provide some thoughts on this topic from a practical perspective based on experiences working with legal departments, law firms and the justice system. It concludes with notions where AI could make a difference in assisting the legal decision-making process today.

Abstract: An automated system that can assist a judge in predicting the outcome of a case can possibly expedite the judicial process. However, for such a system to be practically useful, predictions by the system should be explainable. Otherwise, it will not be acceptable by the human experts in critical applications like legal judgement prediction. In this talk the speaker will throw some light on the task of Court Judgment Prediction and Explanation. The task requires an automated system to predict an explainable outcome of a case. The best prediction model has an accuracy of 78% versus 94% for human legal experts, pointing towards the complexity of the prediction task. Moreover, the analysis of explanations by the proposed algorithm reveals a significant difference in the point of view of the algorithm and legal experts for explaining the judgments, pointing towards scope for future research.

Abstract: Using the automated legal reviews of terms and conditions of German online shops, we illustrate our research approach to design and develop innovative and relevant Legal Tech applications for specific stakeholder groups in the legal system. We also briefly highlight other projects where we combine machine learning and rule-based techniques to process German legal texts in hybrid user-centered systems.

Abstract: OpenNyAI is a mission aimed at developing open source software and datasets to catalyze the creation of AI-powered solutions to improve access to justice in India. This talk will focus on the bottlenecks in developing Indian Legal AI applications and how some of them can be addressed with help of developing NLP Benchmarks which focus on Indian Legal problems. Legal Experts, Technologists and Academic community have to work together for successful use of AI in Indian Legal systems.

Abstract: In course of this presentation, I will explore some of the possible ways in which the use of pricing algorithms, especially in the domain of e-commerce, may merit regulatory attention from the perspective of competition law. Depending on certain market conditions, the use of artificial intelligence and algorithmic pricing has the potential to blur the boundary between inadvertent price parallelism and conscious parallelism in the market, both of which may cause similar pricing movements. I will mention the general conditions in the market that may prove to be conducive to the promotion of horizontal collusion by such algorithms, the manner in which algorithmic pricing may stabilize collusion on a tacit level, and the examples of such collusion and the legality thereof. Finally, the specific challenges in antitrust enforcement posed by the use of artificial intelligence to facilitate such collusion will also be discussed, including the effect of such usage on the capacity to collude, on the detectability of such collusion, and also on the affixation of liability for such collusion.

Abstract: During the presentation I will present research results from various studies on legal norm classification on German statutes and discuss why this use case is relevant for industry and practice. In addition, I will outline why the AI & Law community needs to invest more effort into open-source strategies by sharing datasets, methods, and algorithms.