The Team

Seven years in e-discovery operations — litigation support coordinator at a national litigation firm, then review workflow engineering at an e-discovery vendor. Built Discovarc to address the TAR gap she saw in mid-market discovery work.

Prior implementation consulting work with litigation support teams deploying enterprise review platforms. Deep familiarity with Relativity workspace configuration, load file workflows, and the operational realities of rolling production deadlines.

Former litigation associate at a national litigation practice, moved in-house to build the e-discovery function for a large regional firm. Responsible for Discovarc's privilege detection methodology and TAR protocol documentation framework.

Machine learning engineer with background in document classification and natural language processing. Prior work in legal document analysis at a legal data analytics company. Leads Discovarc's predictive model development and continuous active learning implementation.

Legal operations background at a mid-market insurance defense practice and a regional law firm. Focuses on onboarding litigation support teams and in-house legal departments, translating technical TAR workflow capabilities into operational review protocols.