Smarter Legal AI, Led by Experts

Veronica Lee is a client success and professional services executive with two decades of experience leading large‑scale technology implementations and high‑performing teams across multiple industries and regions. A trusted advisor to C‑suite leaders, she combines deep technical expertise with operational insight, holding degrees in computer science, information systems, and law.

Amy Ly is a senior search consultant specializing in defensible search strategies, advanced analytics, and large-scale data culling for complex legal matters. With more than a decade of experience, she is known for her data-driven approach to reducing risk, improving efficiency, and lowering review costs through rigorous search analysis and AI-enabled workflows.

Shannon Mazur is a consultant with more than 15 years of eDiscovery experience supporting in‑house and outside counsel across all phases of the EDRM. She advises clients on best‑practice workflows for analytics and production, prioritizing client experience through clear communication, disciplined execution, and diligent oversight.

Julia Moore is an expert in information retrieval, TAR, and advanced analytics, supporting complex, large‑scale matters. With a background in forensic linguistics, she delivers highly precise, defensible search and review strategies—reducing review populations while consistently surfacing key and high‑value documents through AI‑driven and linguistically informed approaches.

Lisa Moini leads the delivery of scalable, defensible managed review services for high‑stakes litigation and investigations. With more than 20 years of experience across law firms, corporate legal departments, and eDiscovery providers, she brings deep expertise in review strategy, operational execution, and quality control.

Sommer Parkins specializes in contract analytics and Docusign Insight solutions, supporting complex client engagements across regulated and large‑scale initiatives. She has led end‑to‑end AI implementations and applies both legal and generative AI expertise to deliver measurable business value and ROI.

Melissa Parr has more than 10 years of experience in managed review, known for leading complex projects and developing scalable review processes and playbooks. A former associate attorney, she brings strong legal insight, platform expertise, and a client‑focused approach to review management.

Jill Rivera recently managed a project that achieved significant results through active learning reduction. Using a prioritized family-based review workflow, reviewers had the familiarity and context of family-based review plus the cost and speed benefits of active learning. By identifying full document families with a low likelihood of responsiveness, the team was able to exclude over 47% of the promoted documents from requiring human review.

Remy Robalino has a background in managed review, quality control, and review leadership, supporting complex eDiscovery projects since 2020. A former practicing attorney with experience in construction defect and toxic tort litigation, he brings strong legal judgment, bilingual fluency in Spanish, and hands‑on operational expertise to review engagements.

Liz Roberts has nearly two decades of experience in eDiscovery, combining a linguistics background with deep technical expertise. She helps clients design and execute defensible culling and review strategies that maximize efficiency, minimize review volumes, and surface key data quickly.

Linlin Tian is an analytics consultant focusing on AI-assisted eDiscovery solutions and GenAI prompt engineering. A former Am Law litigator with an engineering background, she designs tailored, defensible workflows that align legal strategy, process rigor, and advanced analytics to deliver high-quality results at scale.

Chris Winburn has nearly a decade of eDiscovery experience and a background as a practicing litigator. He partners with Fortune 500 companies and Am Law firms to deliver efficient, defensible review projects, serving as the central coordinator across teams, technology, and workflows to ensure quality outcomes.