AI Product Owner - Protégé Platform (Legal Tech)

Dreamerlabs

Sydney

Hybrid

AUD 120,000 - 160,000

Full time

3 days ago
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Benefits offered by this job

Employee Assistance Program
Flexible working arrangements
Benefits for you and your family
Access to learning and development资源
Global discounts and free wellbeing &
Electric Vehicle Novated Leasing

Job summary

LexisNexis in Australia seeks an experienced lawyer or legal counsel to lead adoption of Protégé, our AI-powered legal platform, within top law firms and corporate accounts. The role is lawyer-to-lawyer, focusing on pre- and post-sale engagement and shaping AI-enabled legal workflows.

You will work across Sydney or Melbourne with flexible hybrid arrangements, engaging with senior stakeholders to translate practice priorities into practical AI solutions and drive high-impact demos and proposals.

Qualifications

  • Legally qualified professional
  • At least 5 years as practicing lawyer, legal counsel, or barrister
  • Interest in AI and legal tech innovation
  • Experience in client-facing advisory or stakeholder engagement

Responsibilities

  • Lead Protégé adoption in top accounts through lawyer-to-lawyer engagements
  • Build relationships with practice leaders and translate priorities into AI-enabled solutions
  • Deliver high-impact demos showing AI (Protégé) value in legal workflows
  • Collaborate with Relationship Managers to develop pursuit strategies and opportunities
  • Capture customer insights and feed learnings back to improve engagement

Skills

Legal experience
Client engagement
AI interest
Stakeholder management

Job description

LexisNexis in Australia seeks an experienced lawyer or legal counsel to lead adoption of Protégé, our AI-powered legal platform, within top law firms and corporate accounts. The role is lawyer-to-lawyer, focusing on pre- and post-sale engagement and shaping AI-enabled legal workflows.

You will work across Sydney or Melbourne with flexible hybrid arrangements, engaging with senior stakeholders to translate practice priorities into practical AI solutions and drive high-impact demos and proposals.

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