We aim at nothing less than a profound reshaping of society into a model where expert legal advice is no longer a privilege but as ubiquitous to everyday life as the world's collective knowledge has become through search on the internet.
We achieve this by developing the world's best Legal Large Language Model (LLM), trained by world-leading lawyers and AI experts. Our technology is engineered specifically for the legal domain, surpassing Big Tech in accuracy, safety and reliability. We do not rely on external models: we are fully independent.
Safe Sign's Founder & CEO, Sami Kardos-Nyheim, and Co-Founder & Chief Scientific Officer, Dr Jonathan R. Schwarz, discuss their ambition to build the world's most reliable proprietary LLM for Law - fit for the accuracy demands of the legal domain.
Safe Sign Technologies is making the world's best advice accessible to all.
Our AI systems are built with a data-centric approach, with data drawn from proprietary data sources and carefully reviewed by our legal team, constituting the highest quality legal dataset anywhere in AI. We use new curriculum learning algorithms during training, drastically reducing the time and cost of pre-training. Subsequently, we analyze the model using active learning and adversarial methods, ensuring additional data collection is guaranteed to improve safety & performance.
Our models are trained on the foundational properties of legal reasoning, independent of jurisdiction or particular legislation. This allows us to build systems that can later be customized to a wide range of legal tasks, enabling us to solve problems spanning contract negotiation, legal Q&A, dispute resolution or T&C product rankings, and many more using a single model
We emphasize safety throughout the development process with adversarial testing and red-teaming carried out by legal experts. Our models feature out-of-distribution detection, uncertainty estimation, and agent-based roundtable discussions to provide accurate and explainable responses. We specialize our system to specific jurisdictions and drastically reduce hallucinations using Retrieval Augmentation (RAG), requiring citations to up-to-date legislation with every model response.
Our team has world-leading experts in sparsity, model distillation, and quantization, ensuring our predictive models run at real-time speed and can serve thousands of requests.
"One of the best qualified founding teams I have seen." (Leading UK VC)
Safe Sign was founded in February 2022 by a world-leading team of tenured professors, AI scholars, award-winning lawyers, mathematicians, coders and influential business leaders. The cumulative expertise from Cambridge, Harvard, Oxford, DeepMind and Lenovo made Safe Sign a globally-unique start-up from Day 1.
University of Cambridge (Law); Allen & Overy LLP; law reform leader
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Research Fellow, Harvard University; Ex-Senior Research Scientist, Google DeepMind
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Fellow of Law, University of Cambridge; Chair of Private Law, University of Aukland
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Senior By-Fellow at University of Cambridge, Former Postdoc Researcher at Harvard University
University of Cambridge, Machine Learning & Legal Language Model Expert
Professor of Law, University of Cambridge, World-leading Legal AI specialist
6. Current Global Head of Software and Managed Services, Lenovo, Former manager at Sony Electronics
Data Scientist, ex-Morgan Stanley, ex-Amazon, Washington University
UK and US (CA) attorney, ex-Mischon de Reya, Baker McKenzie, Sony (US)
University of Cambridge (Law); Allen & Overy LLP; law reform leader
Sami founded Safe Sign in 2022, having just graduated from Law School at Trinity College, University of Cambridge. Sami's interest in law - and making it accessible - began in 2015 when he defended his working class community from demolition at the hands of developers. The story reached nationwide news. While at Cambridge, Sami founded what is now a major law reform journal. Sami realised that AI had the power to achieve what law had for so long failed to achieve - not just equal rights, but equal access to those rights. Sami is completing his legal training at elite law firm Allen & Overy. One of his specialisms at the firm is Legal AI.
Research Fellow, Harvard University; Ex-Senior Research Scientist, Google DeepMind
Jonathan spend eight years at Google DeepMind, where he rose to become a Senior Research Scientist. Jonathan is now a Research Fellow at Harvard University, alongside leading Safe Sign's AI research. Jonathan works on all forms of Efficient Machine Learning and its application to medical, scientific and legal problems. You can find more about Jonathan on his GitHub page. See also his LinkedIn.
Fellow of Law, University of Cambridge; Chair of Private Law, University of Aukland
Jodi is an internationally renowned Professor of Private Law. She is currently Chair of Private Law at the University of Auckland, as well as a Fellow in Law at the University of Cambridge. Jodi's research focuses on the interaction between private law and social policy. She has spent her career fighting for law reform and access to justice, particularly in the realm of consumer rights. Jodi also supervised Sami (above, Founder & CEO) in Contract and Tort Law at the University of Cambridge. Jodi sees Safe Sign as having the potential to unlock the equalising power of the law in the modern day. You can view Jodi's academic profile on this page. See also her LinkedIn.
