News | May 8, 2026
A recent study by Tatyana Avilova, Economist at Secretariat has been selected by the Editor of JAMA Health Forum as an Editor’s Choice: Clinical Trial of 2025.
Ms. Hulst draws on more than 20 years of professional experience in litigation and disputes to provide legal and market research, draft legal memoranda, conduct discovery, and support depositions, arbitrations, and trials.
Jennifer Hulst draws on more than 20 years of professional experience in litigation and disputes to provide legal and market research, draft, review, and analyze legal memoranda and discovery, and support litigation administration, depositions, arbitrations, and trials.
Ms. Hulst’s work spans intellectual property, antitrust, employment, class actions, insurance coverage, and tort matters. She applies her expertise to support client intake and engagement, economic analyses, develop legal analyses for approaches to damages, perform market research of products, suppliers, and purchasers, and monitor project deadlines and case law developments that affect clients.
Examples of Ms. Hulst’s work include the following projects:
Ms. Hulst is a certified trial technician, and has assisted counsel in jury trials in several civil litigation matters in California. Before joining Secretariat, she was director of litigation operations at Intensity.
A recent study by Tatyana Avilova, Economist at Secretariat has been selected by the Editor of JAMA Health Forum as an Editor’s Choice: Clinical Trial of 2025.
Secretariat Experts Recognized in Lexology’s 2026 Investigations Report
Ten of Secretariat experts have been recognized in the Lexology Index 2026 Investigations report, produced in partnership with Global Investigations Review. The guide highlights leading investigations lawyers, digital forensic specialists, and forensic accountants who are trusted to support the most demanding matters worldwide.
AI is rapidly reshaping how financial institutions in Latin America approach compliance, shifting from reactive monitoring to proactive financial crime detection. Advanced AI platforms specialized in crime detection enable banks to process vast datasets, identify anomalous behaviors, and map hidden relationships across accounts and jurisdictions. This is particularly relevant in a region characterized by complex cross-border flows, uneven regulatory enforcement, and significant exposure to illicit economies.