LexisNexis

Product Manager

· Gathering, evaluating and understanding customer use cases · Creating processes and aligning and coaching the team to ensure customer needs are met · Leveraging and identifying metrics and data to track progress on customer needs and project budgets · Developing clear go-to-market launch plans through coordinated development with external, customer-facing teams · Driving key end-to-end lifecycle components, from planning to release. · Writing clear requirements for complex features or products

Product Manager II

Attorney

• Analyze rulings in federal district court
• Lead a team of attorneys to maintain the dataset, including reviewing new events in litigation as they occur
• Work on an integrated product development team with engineers and other legal experts
• Become an authority on Lex Machina’s Securities and Antitrust data
• Adopt responsibilities for data integrity and innovation of new features
• Contribute to bringing Legal Analytics to new areas of Securities and Antitrust law
• Act as a liaison for our customer success team when sophisticated user questions arise around data and Legal Analytics
• Identify trends using Lex Machina data
• Provide prioritized feedback to the product team about new features and improvements given customer feedback and shifts in the practice of Securities and Antitrust law
• Identify strategic opportunities to showcase Lex Machina’s unique Securities and Antitrust datasets
• Coordinate with the Lex Machina marketing team to create focused content, webinars, and blog posts
• Champion Lex Machina’s Legal Analytics by presenting at conferences and publishing articles

Legal Data Expert - Securities and Antitrust

Journalist

• This general assignment reporter will write daily news stories on employment cases, as well as federal and state legislative, regulatory and enforcement actions
• Reports for Law360's Employment Authority team, covering employment law developments and related regulatory actions

Reporter

Data Scientist

• Responsibilities: Building machine learning models, performing analytics, and creating AI features
• Developing and implementing advanced machine learning algorithms to solve complex business problems
• Collaborating with stakeholders to identify opportunities for leveraging company data to drive business solutions
• Providing technical expertise in statistical analysis, data mining, and data visualization
• Contributing to the continuous improvement of data science processes and methodologies
• Mentoring junior data scientists and provide guidance on AI and machine learning best practices.

Product Manager II

Legal Data Expert - Securities and Antitrust

Reporter

Senior Data Scientist I