Virtual Hearing Platform Development for International House of Law (IHL)

The main goal for the project is to develop a comprehensive platform for secure virtual hearings that addresses all the requirements of a legal hearing, including secure document management system, court reporting, and a secure video/audio conference system. This will involve several different steps for the students, including: - Conducting market research to assess the availability of platforms for secure virtual hearings. - Gathering data on the most active platforms, including their advantages and disadvantages. - Developing the best and most secure concept for an inclusive platform. - Ideally, creating a pilot version of the platform or at least outlining the initial roadmap for its development.

Artificial Intelligence in International Proceeding

Our firm provides advisory services to companies and individuals on alternative dispute resolution. In recent years, there has been a growing trend in international dispute resolution towards transparency and free access to information provided in hearings. This trend emphasizes the importance of making all information related to a dispute available to the public, particularly to academics and practitioners. With the recent advancements in technology, most of the written data, such as pleadings and court/tribunal decisions, are available on various platforms. Several providers offer impressive facilities that make accessing this information easy and quick. However, during the Paris Arbitration Week 2023, one of the keynote speakers highlighted the need to make video recordings of proceedings available to the public. While many institutions have already released their recordings of proceedings, there is no platform that gathers all recordings from various jurisdictions and categorizes them. Such a platform could be useful for parties and practitioners to evaluate the performance of attorneys and adjudicators. Additionally, it could help the new generation to learn about professional proceedings. We would like to collaborate with students to adopt the latest artificial intelligence (AI) and machine learning (ML) techniques to source, categorize, tag, and index recordings from recognized institutions. We have a list of these institutions available in our database for a pilot version of the platform. Students will develop an AI/ML model related to any of the aforementioned adoptions. The project will involve several steps, including  conducting background research on our existing products,  gathering data for the pilot version of the platform,  researching the latest AI/ML techniques and adapting them to the gathered data, developing an AI/ML model that provides unique insights into the data,  and providing multiple solutions that can be applied to solve the same problem.