AI Platform Adoption Lead — Remote

Nixon Peabody LLP; Boston (MA); Remote; USD 136,500 - 210,100; Full time

Benefits offered by this job

Standard benefits package

Additional contingent compensation based on performance

Job summary

Nixon Peabody LLP is seeking an AI Solution Manager to lead the adoption of its proprietary AI platform, Aurora. This critical role will involve maximizing the platform's value across legal practices and ensuring user enablement. Candidates should have at least 5 years of relevant experience, a strong understanding of legal technology, and the ability to translate technical functionalities for legal practitioners. The position offers a remote work schedule.

The ideal candidate will possess a BA in Computer Science or a related field and is preferably a JD. Responsibilities include workflow development, user training, and gathering feedback to enhance platform functionality.

Qualifications

• 5+ years of experience in legal technology or practice innovation.
• Comfort in iterative development environments.
• Hands-on experience with generative AI legal platforms.

Responsibilities

• Lead adoption and workflow development for AI platform.
• Maintain proficiency in AI platform features.
• Develop training and onboarding for firm-wide adoption.

Skills

Experience in legal technology

Generative AI platforms

Project management

Fluency in data analysis

Product thinking

Education

Bachelor’s degree in Computer Science or related field

JD preferred

Tools

Data analysis tools

Harvey or similar generative AI platform

Job description

Nixon Peabody LLP is seeking an AI Solution Manager to lead the adoption of its proprietary AI platform, Aurora. This critical role will involve maximizing the platform's value across legal practices and ensuring user enablement. Candidates should have at least 5 years of relevant experience, a strong understanding of legal technology, and the ability to translate technical functionalities for legal practitioners. The position offers a remote work schedule.

The ideal candidate will possess a BA in Computer Science or a related field and is preferably a JD. Responsibilities include workflow development, user training, and gathering feedback to enhance platform functionality.