Biography
Shang Gao is a lead machine learning researcher at Casetext/Thomson Reuters, where he designs, develops, and deploys solutions for legal and transactional language understanding, generative question answering, and knowledge retrieval. His recent work includes the development of CoCounsel, Casetext's AI legal assistant based on OpenAI’s GPT-4, demonstrating that GPT-4 can pass all portions of the Unified Bar Exam, and running evaluations for Stanford’s new LegalBench benchmark for evaluating performance of large language models on legal reasoning.
Prior to Casetext, Shang was a research scientist at Oak Ridge National Laboratory, where he led a research team building clinical AI solutions for the National Cancer Institute. Shang has a PhD in Data Science from the University of Tennessee.