UX Researcher II - HYBRID NYC

📍 Job Overview

Job Title: UX Researcher II - HYBRID NYC

Company: Reed Technology (LexisNexis Legal & Professional)

Location: New York, NY, United States

Job Type: Full-Time

Category: User Experience Research / Product Development

Date Posted: May 22, 2026

Experience Level: Mid-Level (Implied by "II" title and responsibility scope)

Remote Status: Hybrid

🚀 Role Summary

• Drive user-centered product innovation by planning and executing qualitative and quantitative research studies for AI-powered legal technology solutions.

• Translate complex user needs and workflows of legal professionals into actionable insights that inform product strategy and design decisions.

• Collaborate closely with product managers, designers, and engineers in a fast-paced, iterative development environment to shape AI-driven user experiences.

• Leverage Generative AI tools to enhance research processes, from planning and synthesis to analysis and insight communication.

• Independently lead small-to-medium research projects while supporting senior researchers on larger initiatives, demonstrating strong project management and analytical skills.

📝 Enhancement Note: This role focuses on UX research within the legal tech sector, with a strong emphasis on AI applications. The "II" in the title suggests a mid-level position requiring independent project leadership and a solid foundation in research methodologies. The hybrid nature implies a need for strong communication and collaboration skills, both in-person and remotely.

📈 Primary Responsibilities

• Research Design & Execution: Plan, design, and conduct a variety of user research studies, including usability testing, in-depth interviews, surveys, diary studies, and field research.

• Cross-Functional Collaboration: Partner with product managers, designers, engineers, and other stakeholders to define research questions, align on product goals, and integrate research findings into the product lifecycle.

• AI Product Research: Conduct rapid discovery and evaluative research specifically to inform and improve AI-powered product features and user experiences within the legal domain.

• Customer Engagement: Directly engage with customers, including legal firms and legal professionals, to deeply understand their workflows, identify unmet needs, and uncover opportunities for innovation.

• Insight Synthesis & Communication: Synthesize qualitative and quantitative research data into clear, compelling findings, actionable insights, and prioritized recommendations.

• Influence Product Decisions: Effectively communicate research insights through presentations, reports, and workshops to influence and guide product and design decisions.

• Solution Validation: Work closely with design and product teams to iterate on solutions and validate their effectiveness through user testing and feedback loops.

• AI Tool Utilization: Employ AI-assisted tools to optimize research planning, data synthesis, analysis, and the communication of research outcomes.

📝 Enhancement Note: The responsibilities highlight a blend of traditional UX research practices with a forward-looking focus on AI and legal tech. The emphasis on "rapid discovery and evaluative research" suggests a need for agility and the ability to deliver insights quickly in a product development cycle.

🎓 Skills & Qualifications

Education: While not explicitly stated, a Bachelor's or Master's degree in Human-Computer Interaction (HCI), Psychology, Sociology, Anthropology, Computer Science, or a related field is typically expected for UX Researcher roles.

Experience:

• Proven experience in user research, with a focus on planning and conducting studies.

• Demonstrated ability to lead small-to-medium research projects independently.

• Experience working within product development teams, ideally in a fast-paced or agile environment. Required Skills:

• User Research Methodologies: Proficiency in a range of qualitative and quantitative research methods, including usability testing, in-depth interviews, surveys, diary studies, and field research.

• Data Synthesis: Ability to synthesize complex qualitative and quantitative data into clear, actionable insights and recommendations.

• Customer Empathy: Strong ability to understand and represent the needs, pain points, and workflows of users, particularly legal professionals.

• Communication & Presentation: Excellent written and verbal communication skills, with the ability to present research findings effectively to diverse stakeholders.

• Research Tools: Familiarity with survey or research tools such as Qualtrics, SurveyMonkey, Dovetail, or similar platforms.

• Generative AI & UX: Experience using Generative AI and understanding emerging AI-enabled user experiences.

• Agile Development: Comfort and experience working in fast-paced, iterative product development environments.

• Analytical & Problem-Solving: Strong analytical, organizational, and problem-solving skills.

Preferred Skills:

• Experience in the legal technology (LegalTech) industry.

• Familiarity with AI/ML concepts as applied to user interfaces.

• Experience mentoring junior researchers or contributing to research best practices.

• Prototyping or design feedback experience.

📝 Enhancement Note: The requirement for experience with Generative AI is a key differentiator for this role, indicating the company's focus on leveraging cutting-edge technology. The implied mid-level experience suggests candidates should be ready to take ownership of projects.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Research Case Studies: Showcase 2-3 detailed case studies demonstrating your ability to plan, execute, analyze, and communicate the impact of user research projects.

• Methodology Diversity: Highlight experience with a variety of research methods (qualitative and quantitative) and explain why specific methods were chosen for different research questions.

• Problem-Solution Framing: Clearly articulate the user problem, the research objectives, your approach, key findings, and the resulting product or design recommendations.

• Impact Demonstration: Quantify the impact of your research where possible, showing how your insights led to tangible improvements in user experience or product outcomes.

• AI Integration: If applicable, showcase any projects where AI tools or AI-powered products were part of your research scope.

Process Documentation:

• Research Planning: Examples of research plans, including objectives, target participants, methodologies, and timelines.

• Synthesis Frameworks: Demonstrations of how you structure and synthesize qualitative data (e.g., affinity mapping, thematic analysis) and quantitative data (e.g., statistical summaries).

• Insight Communication: Examples of deliverables such as research reports, presentations, personas, journey maps, or recommendations documents.

📝 Enhancement Note: For a UX Researcher role, a strong portfolio is crucial. Candidates should focus on demonstrating their end-to-end research process and the measurable impact of their work, particularly in the context of AI and legal tech.

💵 Compensation & Benefits

Salary Range: $85,900 - $143,300 USD per year (Base Pay)

Bonus Eligibility: This job is eligible for an annual incentive bonus.

Benefits:

• Wellbeing Initiatives: Comprehensive programs and resources to support employee well-being.

• Shared Parental Leave: Generous parental leave policies to support new parents.

• Study Assistance: Support for continued learning and professional development.

• Sabbaticals: Opportunities for extended leave to recharge and pursue personal growth.

• Flexible Working Hours: Ability to adjust working times to optimize productivity and work-life balance.

• Country-Specific Benefits: Access to benefits tailored to the employee's location (detailed information available via provided link).

Working Hours:

• Standard full-time hours are implied (e.g., 40 hours per week), with flexibility on daily scheduling to accommodate productivity.

📝 Enhancement Note: The salary range provided is for the New York, NY location. The inclusion of an annual incentive bonus, coupled with a robust benefits package emphasizing well-being and flexibility, indicates a competitive compensation structure.

🎯 Team & Company Context

🏢 Company Culture

Industry: Legal Technology (LegalTech), Information Services, AI & Analytics. The company, LexisNexis Legal & Professional, is a pioneer in digital legal information.

Company Size: LexisNexis is part of RELX, a global provider of information and analytics. RELX is a large, publicly traded company, suggesting a corporate structure with established processes and a global reach. Reed Technology is a division within this larger organization.

Founded: LexisNexis was founded in 1973. Its digital services began in the 1980s, marking it as an early adopter of digital information dissemination.

Team Structure:

• The UX team is described as "global," "passionate," and "diverse."

• The UX Researcher II will work closely with product managers, designers, and engineers.

• Collaboration with a senior researcher is expected, implying a tiered research team structure.

• Cross-functional collaboration is a key aspect, essential for integrating research insights into product development. Methodology:

• The team emphasizes a user-centered approach to product development.

• Research is conducted rapidly to inform AI-powered product experiences.

• Emphasis on turning research insights into meaningful product decisions.

• Data synthesis and communication are critical for influencing product direction.

Company Website: https://www.relx.com/ (for RELX), https://www.lexisnexis.com/ (for LexisNexis)

📝 Enhancement Note: Working for a division of RELX means access to resources and stability of a large corporation, while potentially retaining some agility within product teams. The focus on AI and legal tech positions the company at the forefront of industry innovation.

📈 Career & Growth Analysis

Operations Career Level: This role is a UX Researcher II, typically considered a mid-level position. It requires independent project leadership for small-to-medium initiatives while also supporting more senior researchers on complex projects. This level indicates a solid foundation in research methodologies and a growing ability to influence product strategy.

Reporting Structure: The role reports to a senior researcher or a UX research manager, with close collaboration with product managers and engineering leads.

Operations Impact: The impact of this role is directly tied to shaping the user experience of AI-powered legal products. By ensuring products are user-centered, intuitive, and effective, the UX Researcher contributes to customer satisfaction, product adoption, and ultimately, the success of LexisNexis's offerings in the competitive legal tech market. Insights generated can directly influence product roadmaps and feature development, driving business value.

Growth Opportunities:

• Skill Specialization: Deepen expertise in AI-driven UX research, qualitative/quantitative methods, or specific areas of legal tech.

• Leadership Development: Progress to a Senior UX Researcher role, leading larger, more complex research initiatives and potentially mentoring junior team members.

• Cross-Functional Expertise: Develop a strong understanding of product management and engineering processes, enabling more strategic research contributions.

• Industry Impact: Contribute to groundbreaking AI applications that advance the rule of law and improve legal professional workflows globally.

• Learning & Development: Access to study assistance, sabbaticals, and a global team provides ample opportunities for continuous learning and professional growth.

📝 Enhancement Note: The "II" designation implies a clear path for advancement within UX research, with opportunities to take on more strategic and complex projects as experience grows. The company's focus on AI and legal tech offers specialized domain knowledge development.

🌐 Work Environment

Office Type: The role is designated as "HYBRID NYC," indicating a combination of in-office work in New York City and remote work. This suggests a collaborative office environment designed to foster teamwork and idea exchange, complemented by the flexibility of remote work.

Office Location(s): New York, NY, United States. Specific office details would be provided by the company.

Workspace Context:

• Collaborative Environment: The hybrid model suggests an office designed for collaboration, with potential for team meetings, brainstorming sessions, and informal interactions with designers, engineers, and product managers.

• Technology Access: Access to necessary research tools, AI platforms, and standard office technology will be provided.

• Team Interaction: Opportunities for direct mentorship from senior researchers and regular interaction with cross-functional product teams.

Work Schedule:

• Full-time employment with "flexible hours." This means while core working hours might exist, employees have latitude in adjusting their start and end times to optimize productivity and personal commitments.

📝 Enhancement Note: The hybrid nature of the role necessitates strong self-management skills and the ability to effectively contribute both in-person and remotely. The mention of flexible hours is a significant perk, allowing for better work-life integration.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or hiring manager will review applications and resumes, focusing on relevant UX research experience, AI familiarity, and communication skills.

• Portfolio Review: Candidates will likely be asked to present their portfolio, highlighting specific case studies that demonstrate their research process, problem-solving abilities, and impact.

• Technical/Skills Interview: This may involve discussions about research methodologies, AI applications in UX, and hypothetical research scenarios.

• Cross-Functional Interviews: Interviews with Product Managers, Designers, and/or Engineers to assess collaboration style and ability to integrate research into product development.

• Final Interview: Potentially with a senior leader to discuss strategic fit, career aspirations, and cultural alignment.

Portfolio Review Tips:

• Storytelling: Structure your case studies as compelling narratives, clearly outlining the problem, your approach, key findings, and the impact of your work.

• Quantify Impact: Wherever possible, use metrics to demonstrate the success of your research (e.g., "% improvement in task completion," "reduction in user errors," "increase in user satisfaction").

• Showcase AI Experience: If you have projects involving AI, clearly explain your role and the unique research challenges and approaches used.

• Tailor to the Role: Emphasize experiences relevant to legal tech, AI-powered products, and working with complex user workflows.

• Be Prepared for Questions: Anticipate questions about your methodology choices, how you handle conflicting data, and how you influence stakeholders.

Challenge Preparation:

• Hypothetical Research Scenario: Be prepared to outline how you would research a specific AI-powered feature for legal professionals.

• Data Synthesis Exercise: You might be given anonymized research data and asked to synthesize insights and recommendations.

• Communication Task: Practice articulating complex research findings concisely and persuasively.

📝 Enhancement Note: The portfolio review is a critical step for UX Researcher roles. Candidates should prepare to articulate the "why" behind their research decisions and demonstrate the tangible outcomes of their work, especially concerning AI and complex user needs.

🛠 Tools & Technology Stack

Primary Tools:

• Research Platforms: Qualtrics, SurveyMonkey, or similar for survey design and distribution.

• Synthesis & Analysis Tools: Dovetail or similar for qualitative data analysis, transcription, and insight management.

• Collaboration Tools: Jira, Confluence, Miro, Figma, Slack, Microsoft Teams for project management, ideation, and communication.

• AI Tools: Experience or familiarity with Generative AI tools for research support (e.g., for generating discussion guides, initial synthesis, summarizing findings).

Analytics & Reporting:

• While not explicitly listed as a primary requirement, familiarity with analytics platforms (e.g., Google Analytics, Mixpanel, Amplitude) can be beneficial for understanding user behavior data. CRM & Automation:

• While not directly managed by UX Research, understanding of CRM systems (like Salesforce) and marketing automation platforms can provide context for user journeys and customer segmentation.

📝 Enhancement Note: The explicit mention of Qualtrics, SurveyMonkey, and Dovetail, alongside a requirement for Generative AI experience, points to the specific technical proficiencies expected. Candidates should highlight their experience with these types of tools.

👥 Team Culture & Values

Operations Values:

• User-Centricity: A strong commitment to understanding and serving the needs of legal professionals.

• Innovation: Embracing new technologies like AI to transform legal work and product experiences.

• Collaboration: Working effectively across product, design, and engineering teams to achieve shared goals.

• Data-Driven Decision Making: Relying on research insights to guide product strategy and design.

• Efficiency & Agility: Operating in a fast-paced environment to deliver timely research and actionable recommendations.

Collaboration Style:

• Cross-Functional Integration: Seamlessly integrating research into the product development lifecycle, working hand-in-hand with other disciplines.

• Open Communication: Fostering an environment where ideas and feedback are shared freely.

• Impact-Oriented: Focusing on delivering research that translates into meaningful improvements for users and the business.

📝 Enhancement Note: The company's values, as inferred from the description, suggest a culture that balances innovation with a deep understanding of user needs, all within a structured corporate environment.

⚡ Challenges & Growth Opportunities

Challenges:

• AI Complexity: Researching novel AI-powered features requires understanding user adaptation to new technologies and potential ethical considerations.

• Legal Domain Nuances: Deeply understanding complex legal workflows and terminology to conduct effective research with legal professionals.

• Pace of Development: Balancing rigorous research with the fast-paced demands of iterative product development.

• Synthesizing Diverse Data: Effectively integrating qualitative feedback with quantitative usage data and AI-generated insights.

Learning & Development Opportunities:

• AI & LegalTech Specialization: Opportunity to become an expert in a cutting-edge intersection of AI, UX, and the legal industry.

• Mentorship: Learning from senior researchers and experienced product/engineering teams.

• Professional Development: Access to study assistance and potentially industry conferences for ongoing skill enhancement.

• Global Exposure: Working with a diverse, global team can broaden perspectives and understanding of different user needs and market dynamics.

📝 Enhancement Note: The primary challenge lies in bridging the gap between advanced AI capabilities and the practical needs of legal professionals, requiring strong research skills and domain understanding.

💡 Interview Preparation

Strategy Questions:

• "How would you approach researching a new AI feature designed to assist lawyers with document review?" (Focus on methodology, participant recruitment, and potential challenges).

• "Describe a time you had to synthesize conflicting research findings. How did you resolve it and what was the outcome?" (Tests analytical skills and decision-making).

• "How do you ensure your research insights translate into actionable product or design changes?" (Focus on communication, collaboration, and influence). Company & Culture Questions:

• "What interests you about working for LexisNexis and specifically on AI-powered legal products?" (Assess motivation and understanding of the domain).

• "How do you approach collaboration with product managers and engineers who may have different priorities?" (Tests teamwork and stakeholder management).

• "How would you measure the success of your research in this role?" (Focus on impact and outcomes). Portfolio Presentation Strategy:

• Structure: For each case study, clearly outline: Problem, Research Questions, Methodology, Participants, Process, Key Findings, Recommendations, and Impact.

• Visuals: Use clear visuals (screenshots, anonymized data charts, mockups) to illustrate your points.

• AI Focus: If you have AI-related projects, highlight them and discuss specific approaches or tools used.

• Conciseness: Be prepared to present your most impactful work within a given timeframe, focusing on the most critical aspects of each project.

• Q&A: Be ready to answer detailed questions about your decision-making process, alternative approaches you considered, and how you handled challenges.

📝 Enhancement Note: Candidates should prepare to talk about their experience with AI, their process for handling complex user needs, and how they drive product decisions through research. A strong portfolio that showcases these aspects will be key.

📌 Application Steps

To apply for this operations position:

• Submit your application through the provided Workday link: https://relx.wd3.myworkdayjobs.com/LexisNexisLegal/job/New-York-NY/UX-Researcher-II---HYBRID-NYC_R113843

• Portfolio Customization: Ensure your portfolio prominently features case studies demonstrating your experience with qualitative and quantitative research, particularly in technology-focused environments. Highlight any work related to AI or complex workflows.

• Resume Optimization: Tailor your resume to emphasize keywords related to UX Research, AI, legal tech, specific research methodologies (usability testing, interviews, surveys), data synthesis, and cross-functional collaboration. Quantify achievements where possible.

• Interview Preparation: Practice articulating your research process, methodologies, and the impact of your work. Prepare to discuss your experience with AI tools and how you approach research in fast-paced, iterative environments.

• Company Research: Familiarize yourself with LexisNexis Legal & Professional, its products, and its position in the legal tech market, paying attention to their AI initiatives. Understand RELX's broader mission.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.