Dr. Olivia Bennet

Olivia earned her undergraduate degree in mathematics from the University of Chicago before completing a Ph.D. in Data Science at Stanford University, where her dissertation on probabilistic inference over incomplete and adversarial records won the department's Lattimore Prize. She trained at the boundary of statistics, computer science, and decision theory at a moment when those fields were only beginning to be applied seriously to law.

Where others saw discovery documents, regulatory filings, and litigation records as a burden to be managed, Olivia saw a signal to be extracted. She built her early reputation on refusing the false choice between rigor and speed, and on a near-obsessive commitment to being able to defend every number the firm ever puts in front of a client.

She is, by the account of everyone who works with her, the intellectual center of gravity of the firm.

For nearly a decade before co-founding Bennet, Olivia worked inside high-stakes litigation analytics, most recently as Head of Analytics at Corveth Litigation Sciences, where she led the quantitative teams supporting damages, causation, and pattern-of-conduct analyses in bet-the-company disputes. Her models were relied upon by trial teams and, on more than one occasion, cited approvingly by the experts who testified from her work.

Earlier she served as a Senior Research Scientist at the Aldous Data Institute, an independent research organization, where she published on machine-assisted document review, statistical sampling for large evidentiary sets, and methods for detecting anomalies in financial and communications records. Her work has appeared in the Journal of Empirical Legal Analytics and the Proceedings on Computational Evidence.

Practitioners sought her out for a specific reason: her results held up under cross-examination. She built methods designed from the first line of code to survive a hostile challenge.

As Chief Intelligence Officer, Olivia owns the firm's analytic backbone — its data pipelines, models, quality controls, and the standards by which every finding is validated before it leaves the building. She recruited and leads the firm's intelligence teams, and she personally reviews methodology on the most sensitive engagements.

She is emphatic that Bennet's work is research and analysis, never legal advice, and she has built the firm's practice so that its outputs are transparent, reproducible, and defensible. Her insistence on documented method is, in Robert's phrase, the reason clients believe the firm.

She also drives Bennet's continued investment in artificial intelligence and large-scale data capabilities, always under the same governing rule: no model ships until its errors are understood.

Olivia believes that the honest expression of uncertainty is a competitive advantage. She trains her teams to quantify confidence, to state assumptions out loud, and to treat a well-characterized 'we don't know' as more valuable than a confident guess.

Her standard for the firm is exacting and simple: every conclusion must be reproducible and every number must be defensible by the person who produced it.