LexisNexis

Strategy

• Develop and execute the Large-Law & Mid-Law segment growth strategy across ANZ
• Identify opportunities through market, customer, and competitor analysis
• Drive go-to-market initiatives accelerating adoption of legal technology and AI solutions
• Partner with product and content teams to incorporate customer needs into future innovation
• Align sales, marketing, pricing, and customer success teams around growth priorities
• Monitor commercial performance and adjust strategy to capture emerging opportunities
• Influence stakeholders across a matrixed organisation to deliver the right products, positioning, messaging, and customer experience
• Work with senior leaders to influence business direction and investment priorities

Segment & GTM Strategy Manager – Legal AI, Large & Mid-Law Segment

Content Manager

• Conduct in-depth legal research and write and edit clear, concise, analytical, and practical tax legal content
• Oversee licensing and procurement of content for CPAs and accountants
• Develop and maintain content for CPAs and accounting professionals
• Analyze and interpret legislation, case law, rules/regulations, legal news, and related materials
• Write and edit articles and commentaries on current tax issues for practicing attorneys
• Ensure accuracy, clarity, consistency, and compliance with legal and editorial standards
• Use generative and agentic AI, automation, and data to streamline content development and editorial processes
• Craft prompts, evaluate AI outputs, and iterate for optimal results
• Track changes and trends in tax law, accounting, and related technology
• Collaborate with Editorial Directors, Legal Editors, Product Managers, and cross-functional partners
• Scope, outline, draft, edit, and quality-check analytical and practical content
• Contribute to content development, licensing, and procurement strategy and execution
• Develop expertise in accounting and tax law practitioners and market ecosystems
• Identify and recruit authors and contractors; prospect firms and individuals, pitch projects, and negotiate agreements
• Contribute to product pilots, tool and process evaluations, and standards development

Tax Accounting and Legal Content Manager

Security Analyst

• Advise Infrastructure Engineering on secure infrastructure service design, implementation, and continuous improvement
• Partner with Cloud Engineering, Platform Engineering, SRE, and Systems Engineering teams
• Translate security frameworks, regulations, and policies into actionable technical guidance
• Provide expertise on secure architecture, OS hardening, identity management, cloud security, network security, encryption, certificate management, and infrastructure best practices
• Collaborate with GRC and Information Security teams on compliance objectives, findings, audits, and risk priorities
• Guide vulnerability remediation, prioritize findings, evaluate operational impacts, and validate remediation
• Develop secure configuration standards using DISA STIGs, vendor guidance, and organizational baselines
• Support compliant configurations across Windows, Linux, virtualization, cloud, identity, storage, and enterprise infrastructure
• Analyze vulnerability, compliance, operational, and infrastructure data to identify trends and organizational risk
• Develop executive dashboards, metrics, and reports on security health, remediation, compliance, risk, and maturity
• Prioritize security initiatives with engineering leadership
• Automate security validation, compliance reporting, configuration management, vulnerability remediation, and governance
• Evaluate emerging technologies, controls, and infrastructure practices
• Promote Security by Design across infrastructure planning and engineering
• Provide technical leadership for cloud migrations, platform upgrades, OS lifecycle management, and technology transformations
• Participate in architecture reviews, design discussions, change management, and technical governance boards
• Develop technical documentation, security standards, implementation guides, playbooks, and procedures
• Advise engineers on secure engineering principles and infrastructure security techniques
• Recommend long-term infrastructure security improvements
• Advocate Zero Trust, Infrastructure as Code, Policy as Code, Continuous Compliance, and Secure Configuration Management
• Champion automation-first security practices

Senior Security Analyst

Attorney

• Lead the ongoing development and maintenance of Practical Guidance content for the Labor and Employment practice area
• Design, own, and execute content upkeep processes and workflows
• Monitor legal developments, legislation, regulations, agency guidance, and court decisions
• Perform legal research and editorial tasks to update Practical Guidance content
• Draft, revise, and edit content to meet editorial standards
• Maintain legal development trackers and other customer-facing resources
• Execute content remediation projects focused on quality, usability, navigation, organization, currency, and consistency
• Incorporate AI and emerging technologies into editorial workflows
• Partner with LNNAUK, GPO, and GTO teams on content strategy, workflow improvements, product enhancements, and customer-focused initiatives

Legal Content Analyst – Labor and Employment

Data Scientist

• Analyze complex data sets and develop practical data mining and statistical analysis skills.
• Contribute to machine learning and AI-enabled product solutions.
• Explore model performance, data quality, retrieval quality, AI output quality, and customer-impact metrics.
• Collect, clean, organize, and document datasets for analysis, model development, and evaluation.
• Collaborate with data science, engineering, product, and UX team members to develop, test, and improve predictive models, machine learning workflows, and AI-enabled product capabilities.
• Conduct exploratory data analysis to identify trends, patterns, data-quality issues, and opportunities to improve customer outcomes.
• Support experiments involving generative AI, large language models, embeddings, retrieval-augmented generation, prompt patterns, and agentic workflows.
• Contribute to model and AI-output evaluation, including accuracy, grounding, relevance, reliability, bias, safety, and customer usefulness metrics.
• Create visualizations, reports, dashboards, or notebooks communicating insights, experiment results, and model performance.
• Document assumptions, limitations, evaluation methods, and responsible AI considerations for review, reproduction, and reuse by global teams.
• Participate in weekly development sessions and gain exposure to data scientists, engineers, product managers, UX, and customer-focused teams.

Data Science Internship

Full-stack Engineer

• Collaborate with engineering, product, UX, and data science team members to design and develop software solutions.
• Develop code for web applications, APIs, services, product integrations, and internal engineering tools.
• Use AI-assisted development tools responsibly to prototype, document, test, and improve code, validating outputs through human review.
• Participate in code reviews and provide feedback on readability, reliability, security, accessibility, and maintainability.
• Assist in troubleshooting software issues, writing tests, improving observability, and resolving defects.
• Contribute to AI-enabled capabilities including workflow automation, tool orchestration, evaluation harnesses, telemetry, and reusable platform components.
• Document software designs, technical decisions, experiment results, and development processes for reuse by global teams.

Software Engineer Internship

Data Entry

• Prepare patent application files for data conversion through proofreading, editing, and ensuring completion and sequencing of data.
• Verify receipt and check all pieces of image delivery.
• Complete electronic summary checklists.
• Electronically zone file segments including CWU with complexity, Artwork, Drawings, Text, CRC pages, and Unused data.
• Process patent applications by moving images into proper folders when required.
• Process problem files according to established procedures.
• Assist in training new employees and help resolve problems when appropriate.
• Meet or exceed established quantity and quality production metrics.
• Participate in continuous process improvement projects.
• Perform other job-related duties as required.

Data Entry Operator

Product Manager

• Own one or more product features and lead project execution
• Own product development plans and represent features within cross-functional teams
• Propose new feature ideas addressing customer pain points or needs
• Gather, evaluate, and understand customer use cases
• Create and deliver innovative, AI-enabled product features and capabilities
• Prioritize and communicate customer issues and defects based on relevant data
• Lead demonstrations to key stakeholders at program milestones
• Lead and mentor team members and participate in peer development and recruitment
• Identify and leverage metrics and data to track customer needs and project budgets
• Develop go-to-market launch plans with external, customer-facing teams
• Drive end-to-end lifecycle components from planning to release
• Develop product vision and roadmap aligned with business strategy and communicate it to stakeholders