Legal AI Product Specialist
Workday
Job Overview
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Job Description
About Workday
Workday is a Fortune 500 company and a leading AI platform for managing people, money, and agents. They are committed to integrity, empathy, and innovation, ensuring that every team member's hard work pays off.
About the Evisort Team
The Evisort team at Workday is on a mission to transform contract management. They build groundbreaking AI technology that makes contracts searchable and simplifies deal-making processes to reduce costs and manage risk.
About the Role - Legal AI Product Specialist
As a Legal AI Product Specialist, you will collaborate with Product Managers and the Data Science team to deliver best-in-class AI solutions that optimize contract negotiation and management for major companies.
Your responsibilities include:
- Crafting and maintaining a dataset of contract records and legal models.
- Escalating issues to the Data Science team and facilitating resolutions.
- Collaborating with Product Management to clarify process flows and drive improvements.
- Brainstorming automation use cases and procedural enhancements.
- Updating documentation and supporting special projects as assigned.
About You
The ideal candidate is a self-starter with excellent communication skills, strong analytical capabilities, and experience in corporate law, finance, consulting, or data science. Experience with generative AI and large language models is a plus.
Workday Pay & Flexibility
This role offers a competitive salary, bonus potential, and flexible work arrangements with a mix of in-office and remote work time.
Key skills/competency
- AI
- Contract Management
- Data Analysis
- Legal Expertise
- Product Management
- Automation
- Communication
- Excel
- Problem-solving
- Team Collaboration
How to Get Hired at Workday
- Customize your resume: Highlight legal and AI expertise.
- Showcase relevant experience: Mention contract review and automation skills.
- Research Workday: Understand company culture and values.
- Prepare for technical questions: Emphasize data analysis and AI applications.
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