Pacific Cases Lead — AI-Enabled Editorial & Ops

LexisNexis; Auckland; Hybrid; NZD 120,000 - 190,000; Full time

Job summary

LexisNexis is seeking a Cases Lead – Pacific to oversee the operational delivery of case law content across Pacific jurisdictions and ensure alignment with quality, timeliness, and AI readiness.

You will supervise editorial workflows, monitor performance, and manage relationships with courts, reporters, vendors, and content providers while driving continuous improvement and cross-functional collaboration across Product, Technology, Data Science, Editorial and Commercial teams.

Qualifications

• LLB or equivalent legal qualification is required.
• Experience in legal practice, publishing, research, or editorial operations is preferred.
• Exposure to AI-assisted workflows and legal tech is advantageous.

Responsibilities

• Lead operational delivery of editorial work across Pacific jurisdictions.
• Monitor editorial performance metrics, service levels, quality indicators, and timelines.
• Ensure editorial quality and compliance with LexisNexis standards.
• Act as the primary regional contact for case law operations.
• Manage relationships with courts, reporters, vendors, licensors, and content providers.
• Lead workflow improvements and regional initiatives.
• Drive adoption of AI-enabled editorial practices and experiments with new tech.
• Collaborate with Product, Technology, Data Science, Editorial, and Commercial teams.

Skills

Legal research

Editorial judgment

Written & verbal communication

Attention to detail

Education

LLB or equivalent

Tools

Content management systems

Digital publishing tools

Legal research platforms

Job description

LexisNexis is seeking a Cases Lead – Pacific to oversee the operational delivery of case law content across Pacific jurisdictions and ensure alignment with quality, timeliness, and AI readiness.

You will supervise editorial workflows, monitor performance, and manage relationships with courts, reporters, vendors, and content providers while driving continuous improvement and cross-functional collaboration across Product, Technology, Data Science, Editorial and Commercial teams.