Grantchester, on the outskirts of Cambridge, where members of Safe Sign's Legal Data Science team clear their headsPrithviraj Maurya: Senior Machine Learning Engineer
At a time of acute talent scarcity, we’re successfully expanding our Harvard-based Machine Learning team, led by Dr. Jonathan Schwarz. Prithviraj Maurya joins as a Senior Machine Learning Engineer, bringing cutting-edge research expertise and industry experience from Morgan Stanley.
We’ll be announcing a high-profile AI hire (among other AI hires) next month – stay tuned.
Our 50+ US and UK legal experts, led by an elite Cambridge University team, continue to build a complete and comprehensive legal dataset, filling in gaps where existing databases fall short. Our vast high-quality, proprietary data is enabling significant improvements in model performance, as shared in our last monthly update (see below).
We’re pleased to be joined by five new individual investors (US-, Asia-, Africa- and EU-based).
Our AI team was asked to evaluate an LLM: www.theregister.com/better_call_saul_llm
This article reinforces our domain expertise, showing our significant lead position on LegalBench and as an authority in the Legal AI vertical.
Safe Sign’s Chief Scientist (Jonathan) “Schwarz said [Safe Sign] was not yet ready to comment on the extent to which its offering will be open source or proprietary. But he claimed that while SaulLM-7B-Instruct – a version fine-tuned on general and legal instructions – managed to score an average of 0.61 on the LegalBench-Instruct benchmark, "we're getting close to 0.77."