Insolvency Bot
A bot leveraging LLMs to answer questions about English insolvency law. You can read more in our accompanying blog post.
The information provided on this website does not, and is not intended to, constitute legal advice.
Who worked on this project?
Miklós Orbán is a legal entrepreneur with 20+ years of experience as a New York and Hungarian qualified lawyer. He is the CTO of
gunnercooke LLP and the managing parter of
gunnercooke CEE. In addition, he is the co-founder of OPL,
EXPLICO and Lexitup. He graduated from ELTE Law School and Georgetown University where he was a Fulbright scholar. Miklos is a Visiting Professor in practice at the University of Surrey.
Marton Ribary is a Lecturer in Law at
Royal Holloway, University of London where his research focuses on legal reasoning. He works with Natural Language Processing (NLP) and algorithmic rule modelling methods applied to historical (Roman and Rabbinic) as well as modern (English) texts in private law.
Eugenio Vaccari is a Senior Lecturer in Law at the Department of Law and Criminology at Royal Holloway, University of London. Eugenio is a qualified Italian lawyer specialized in corporate insolvency and bankruptcy law. Eugenio is an active member of several leading institutions in the field, including III NextGen Class XI (where he is member of the Executive Committee), INSOL International, INSOL Europe, the Insolvency Law Academy (where he is co-chair of the Emerging Scholars Group) and the Insolvency Lawyers’ Association (UK). Eugenio is also an Academic Fellow of the Middle Temple. He co-authored English Corporate Insolvency Law: A Primer, which was an invaluable resource for the development of this project.
- Vaccari, Eugenio, and Emilie Ghio. English Corporate Insolvency Law: A Primer. Edward Elgar Publishing, 2022.
Thomas Wood is director of Fast Data Science. He holds a Masters in natural language processing (MPhil in Computer Speech, Text and Internet Technology) from the University of Cambridge. He has worked in a psychology lab in London, two small companies in Germany and Spain, and has worked in Tesco’s data science team. In 2018, he founded Fast Data Science to offer consulting services in natural language processing and machine learning, focusing on the healthcare and pharmaceutical industries. He has built machine learning models to extract important information from unstructured documents such as interview transcripts, scientific papers, clinical trial protocols, and other scientific and healthcare data.
