Joel Niklaus is currently an AI Resident at (Google) X, researching legal reasoning with LLMs. Joel Niklaus is a PhD student at the University of Bern working in the field of multilingual legal NLP. Previously he interned at Thomson Reuters Labs where he investigated efficient domain-specific pretraining approaches. He visited Stanford University supervised by Prof. Dan Ho, conducting research on large language models in the legal domain. He has extensive experience in pretraining and finetuning large language models for diverse tasks and on diverse compute environments. His research focuses on dataset curation to train and evaluate language models multilingually for the legal domain. He serves as an advisor to companies specializing in the applications of modern NLP to legal challenges. He holds a Master’s degree in Computer Science from the University of Bern, specializing in Data Science, where he developed a High-Human AI for the Swiss card game Jass. Since 2015, Joel Niklaus is teaching at Swiss high schools and universities.

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I’m currently operating at near capacity with my existing commitments, but I am still open to consulting on exceptional projects that pique my interest.