REPRESENTATIVE EXPERIENCE
Gina Marie
AI Enhanced e-Discovery
Integrated multiple AI tools to streamline document review and optimize litigation workflows. Used CoCounsel to extract key issues from the Complaint, then applied aiR for Review to identify and tag responsive documents aligned with each issue. Implemented mass tagging to track AI decisions, enabling rapid retrieval of targeted document sets for deposition prep. This approach eliminated hours of manual review and significantly accelerated issue-based document organization.
Utilized advanced document analysis tools to strategically question key documents and validate the client’s narrative. Leveraged CoCounsel to uncover potentially harmful facts early in the review process, enabling proactive case strategy adjustments and reducing risk exposure. This approach helped streamline fact development and saved hours of document review and attorney notations.
Leveraged aiR for Review to streamline deposition preparation through strategic issue coding. The Relativity platform’s AI-assisted tagging capabilities in "aiR for Review" accelerated document categorization, reduced manual review time, and enabled more targeted identification of key materials for witness examination. This approach improved coordination across teams and ensured consistent application of issue codes aligned with case strategy.
Built an interactive case chronology using Case Dynamics, an AI-powered tool within Relativity. Identified and linked key documents with precise citations to support the client’s defense strategy, streamlining narrative development and saving an estimated 40+ hours of manual timeline construction and cross-referencing.
Contract Analysis – Data Breach Obligations: Leveraged AI-powered contract analysis tool to identify and catalog breach notification obligations within a voluminous set of recently acquired international license agreements. Enabled proactive compliance planning across jurisdictions during cross-divisional data transfers.
Legal Project Management
Led privilege review and quality control efforts on a complex litigation matter involving extensive document volumes. Collaborated daily with vendor review attorneys to resolve privilege-related questions, conducted in-depth analysis of work product and common interest issues, and delivered targeted training sessions to improve privilege identification accuracy and consistency across the team.
Employment Litigation: Served as lead e-discovery attorney in a complex employment dispute. Oversaw multisource data collection (mobile, email, laptop, chat), developed defensible search terms and review protocols, trained review teams, and executed predictive analytics for efficient document production and privilege log generation.
Trademark Dispute: Directed e-discovery strategy for a high-stakes trademark matter. Managed data collection from geographically dispersed board members, historic hard-copy records, and web content. Developed tailored search terms and coding templates, produced documents per ESI specifications, and drafted privilege logs.
e-Discovery Tools and Processes Outside of Litigation
Security Incident Response: Led review of hundreds of thousands of employee and customer documents following a data breach. Applied advanced filtering and analytics to track key data points, enabling jurisdiction-specific notification decisions and facilitating sensitive client communications.
Internal Investigation – Export Compliance: Acted as sole e-discovery counsel for a global software company. Used complex search methodologies to isolate a critical subset of documents from a large data set, resolving a US export compliance issue within hours and avoiding unnecessary review costs.
Regulatory Production – SEC: Coordinated voluntary document production to the U.S. Securities and Exchange Commission in full compliance with SEC Data Delivery Standards, ensuring accuracy, defensibility, and timely submission.
Healthcare Data Privacy: Designed custom review and coding templates for a medical provider using Nuix Discover. Trained attorneys to identify sensitive documents locally, enabling targeted investigation without further disclosure of compromised data.
