Jeffrey Hayes

Jeffrey Hayes is a Senior Litigation Analyst with 14 years of experience, holding a Juris Doctor (J.D.) from the University of California, Berkeley, School of Law. She began her career at Sterling & Finch Legal Group, where she quickly established herself as a leader in data-driven legal strategy. Currently, Jeffrey spearheads the Case Outcomes Division at Veritas Law Analytics, focusing on predictive modeling for settlement negotiations and trial verdicts, with a particular emphasis on multi-district litigation and class action outcomes. Her professional philosophy centers on demystifying legal uncertainty through rigorous quantitative analysis, empowering legal teams to make informed decisions. Jeffrey's seminal publication, 'Quantifying Uncertainty: A Framework for Case Outcome Probability,' is a cornerstone text in the field. Readers can expect her articles to provide clear, actionable insights into statistical methodologies for case assessment, trend analysis in legal outcomes, and practical applications of predictive analytics to improve litigation strategy