Paralegal (Litigation and Risk)
Angi- Full Time
- Junior (1 to 2 years)
Candidates should possess a Bachelor’s degree or equivalent work experience in the legal field, demonstrating a comprehensive understanding of mass tort and class action settlement programs and related legal processes. They should have at least 5 years of hands-on experience managing complex mass tort and class action settlement programs, showcasing a proven track record of success in delivering results amidst challenging legal landscapes. Advanced proficiency in Excel, including pivot tables, data sorting, and filtering capabilities, is required.
As a Litigation Manager, you will partner closely with attorneys and subject matter experts to conceptualize and execute settlement programs, leading the development and implementation of comprehensive project plans to ensure timely and effective progress. You will serve as the primary point of contact for clients and stakeholders, fostering transparent communication and proactively resolving obstacles. This role involves authoring and reviewing critical documents, preparing detailed reports, providing support to internal executives, and identifying opportunities for process optimization to drive continuous improvement initiatives.
AI platform for streamlining litigation processes
Pattern Data provides an AI-powered software platform aimed at improving the litigation process for law firms, especially those handling mass tort cases. The platform automates repetitive tasks like reviewing medical records and extensive documentation, enabling legal teams to gather evidence more efficiently and reduce case backlogs. It also offers features such as predicting case quality, conducting rapid case reviews, and automating settlement analysis. Unlike its competitors, Pattern Data focuses specifically on the needs of law firms, providing tools that enhance productivity and accuracy in case management. The goal of Pattern Data is to streamline legal operations, allowing firms to make informed strategic decisions based on comprehensive data analysis.