Pattern Data is a company that specializes in providing AI-powered legal technology solutions, particularly focused on mass tort litigations. Their platform leverages artificial intelligence to automate and expedite the review of medical records, helping legal teams build evidence more efficiently and accurately. By digitizing, analyzing, and categorizing client data, Pattern Data helps improve law firm operations and enhances strategic decision-making. Trusted by leading law firms, their software significantly speeds up case reviews, settlements, and overall litigation processes.
September 7, 2024
Pattern Data is a company that specializes in providing AI-powered legal technology solutions, particularly focused on mass tort litigations. Their platform leverages artificial intelligence to automate and expedite the review of medical records, helping legal teams build evidence more efficiently and accurately. By digitizing, analyzing, and categorizing client data, Pattern Data helps improve law firm operations and enhances strategic decision-making. Trusted by leading law firms, their software significantly speeds up case reviews, settlements, and overall litigation processes.
β’ Drive high-touch, high-impact relations with managing partners and staff at law firms to communicate data-driven insights and recommendations and to reinforce Patternβs ROI β’ Drive product adoption and client loyalty by providing support and direction via Patternβs product analytics and support tools β’ Analyze business processes and client data to quantity client health and to stay ahead of client challenges β’ Research and develop new algorithms based on scientific/medical criteria for current and future litigations β’ Through experimentation and sampling, edit algorithms and identify opportunities to improve model performance. Make recommendations to the internal team on risks and potential solutions β’ In collaboration with our team, define ways to improve the process to create litigation algorithms
β’ 3+ years experience in client, management, consultancy, reporting and analytics β’ Prior experience in designing and implementing strategies related to business process improvement, automation, and/or document processing β’ Self-starter able to take on tasks with minimal oversight and guidance β’ Love of learning and an aptitude for absorbing and synthesizing technically complex information β’ Proven ability to work with top executives / management on critical issues β’ Excellent communication and presentation skills β’ Ability to interact with enterprise customer teams at various levels of technical and non-technical depth β’ Ideal candidates will be able to show samples of work for professional, educational, or personal projects
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