Sr UX Researcher I

📍 Job Overview

Job Title: Sr UX Researcher I

Company: Reed Technology (LexisNexis Legal & Professional)

Location: New York, NY, United States

Job Type: FULL_TIME

Category: User Experience Research / Product Operations

Date Posted: 2026-05-22

Experience Level: Mid-Senior Level (5-10 years)

Remote Status: Hybrid

🚀 Role Summary

• Lead complex, multi-method UX research initiatives focused on AI-powered legal product experiences and strategic innovation.

• Drive product strategy and outcomes by translating deep user insights into actionable recommendations for product, design, and engineering partners.

• Conduct rapid discovery and generative research in fast-paced product development environments, directly engaging with legal professionals.

• Leverage analytics, behavioral data, and AI-assisted tools for robust insight generation and synthesis.

• Mentor and guide junior researchers in research methodologies, effective storytelling, and stakeholder engagement.

📝 Enhancement Note: While the title is "Sr UX Researcher I," the responsibilities suggest a role that bridges traditional UX research with product strategy and even elements of product operations by influencing product direction based on user data and AI capabilities. The emphasis on AI and legal tech positions this as a specialized role within a rapidly evolving domain.

📈 Primary Responsibilities

• Lead end-to-end UX research initiatives, employing a diverse range of qualitative and quantitative methods, specifically within AI-enabled product areas.

• Plan, execute, and synthesize findings from generative, evaluative, and strategic research studies to inform product development and innovation roadmaps.

• Collaborate intimately with product managers, designers, engineers, and AI practitioners to co-create and refine AI-powered legal solutions.

• Perform rapid discovery research to quickly understand user needs and market opportunities in dynamic product development cycles.

• Directly engage with legal professionals to deeply understand their workflows, behaviors, pain points, and unmet needs, particularly as they relate to AI tools.

• Translate complex research insights into clear, compelling, and actionable product and business recommendations for senior stakeholders.

• Utilize analytics, behavioral data, and AI-assisted tools to enhance the depth and efficiency of research synthesis and insight generation.

• Mentor and provide guidance to other researchers on advanced research methods, effective communication, and strategic stakeholder engagement.

📝 Enhancement Note: The responsibilities highlight a senior-level researcher capable of independent leadership, strategic thinking, and mentorship. The integration of AI tools and legal professionals as the target user group indicates a specialized and forward-thinking research function.

🎓 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 a Senior UX Researcher role. Advanced degrees are often preferred for strategic research positions.

Experience: 5-10 years of dedicated experience in User Experience (UX) research, with a proven track record of leading complex research initiatives from inception to completion.

Required Skills:

• Extensive experience conducting end-to-end UX research using a variety of qualitative (e.g., interviews, ethnography, usability testing) and quantitative (e.g., surveys, A/B testing, analytics) methods.

• Demonstrated ability to independently lead complex research initiatives, managing the entire research lifecycle with minimal oversight.

• Proven experience conducting generative and discovery research to identify new opportunities and inform product strategy.

• Hands-on experience utilizing Generative AI tools (e.g., for data analysis, synthesis, persona generation, content summarization) to enhance research workflows and insight generation.

• Exceptional ability to synthesize ambiguous information, identify key themes, and translate them into clear, strategic guidance for product teams.

• Strong stakeholder management, facilitation, and communication skills, with the ability to present research findings effectively to diverse audiences.

• Proven experience collaborating effectively with product management, design, engineering, and data science teams.

• Ability to manage multiple research priorities simultaneously in fast-paced, dynamic environments. Preferred Skills:

• Experience in the legal technology (LegalTech) industry or with professional services users.

• Familiarity with AI/ML concepts and their application in product development.

• Experience with advanced statistical analysis or data modeling techniques.

• Experience mentoring or managing junior researchers.

• A strong portfolio showcasing successful research projects and their impact on product outcomes.

📝 Enhancement Note: The requirement for hands-on experience with Generative AI tools is a critical differentiator for this role, reflecting the company's focus on AI-driven legal products. The emphasis on independent leadership and strategic guidance aligns with a senior-level position.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase a minimum of 3-5 complex UX research projects that demonstrate end-to-end research leadership.

• For each project, clearly articulate the research objectives, methodologies employed, challenges encountered, and the specific insights generated.

• Provide concrete examples of how your research directly influenced product strategy, design decisions, or business outcomes, ideally with quantifiable impact where possible.

• Highlight your experience with generative and discovery research methodologies.

• Include specific examples of your experience using Generative AI tools to support research workflows or analysis, detailing the tools used and the benefits realized. Process Documentation:

• Demonstrate proficiency in documenting research plans, participant recruitment strategies, and research protocols.

• Showcase examples of how you translate raw research data into synthesized findings, actionable insights, and clear recommendations through reports, presentations, or other artifacts.

• Provide evidence of your ability to communicate research findings effectively to diverse stakeholders, including product managers, designers, engineers, and executive leadership.

📝 Enhancement Note: Given the role's emphasis on AI and strategic influence, the portfolio should prominently feature projects that involved complex problem-solving, generative research, and demonstrated impact on product direction, especially those leveraging AI tools.

💵 Compensation & Benefits

Salary Range: New York, NY: $114,300 - $190,500 annually.

Benefits:

• Annual incentive bonus program, reflecting performance-based rewards.

• Comprehensive wellbeing initiatives designed to support employee health and happiness.

• Shared parental leave policies to support new parents.

• Study assistance programs to encourage continuous learning and professional development.

• Sabbatical opportunities for extended personal or professional growth.

• Flexible working hours, allowing employees to adjust their schedules for better work-life integration and productivity.

• Access to country-specific benefits, with details available via the provided link.

Working Hours: Standard 40 hours per week, with flexibility in daily scheduling.

📝 Enhancement Note: The provided salary range is competitive for a Senior UX Researcher in New York City. The inclusion of a bonus and a robust set of benefits, including flexible working hours and professional development support, indicates a strong commitment to employee well-being and growth in the operations and research functions. The mention of AI-assisted tools and hybrid work also suggests a modern approach to operational efficiency and flexibility.

🎯 Team & Company Context

🏢 Company Culture

Industry: Information Services, Legal Technology, AI & Analytics. LexisNexis Legal & Professional is a global leader in providing legal, regulatory, and business information and analytics. Their focus on AI and advanced technologies positions them at the forefront of legal innovation.

Company Size: LexisNexis Legal & Professional is part of RELX, a global provider with 11,800 employees worldwide. This indicates a large, established organization with significant resources and a global reach.

Founded: LexisNexis has a long history as a digital pioneer, being the first to bring legal and business information online. This legacy suggests a culture that values innovation while building on a strong foundation. RELX was founded in 1970.

Team Structure:

• The UX Research team likely operates within a larger Product or Technology organization, working closely with dedicated Product Management, Design, and Engineering teams focused on specific AI-powered legal product lines.

• Reporting structures may involve a UX Research Manager or Director, with senior researchers leading initiatives and potentially mentoring junior team members.

• Cross-functional collaboration is central, with researchers acting as key liaisons between legal professionals (customers) and internal product development teams. Methodology:

• Data-driven decision-making is paramount, integrating user research insights with behavioral data and AI-assisted analysis.

• A focus on iterative product development, utilizing rapid discovery and evaluative research to inform ongoing improvements.

• Commitment to Responsible AI Principles, ensuring ethical considerations are integrated into product development and research practices.

Company Website: https://www.lexisnexis.com/ (Legal & Professional division) and https://www.relx.com/

📝 Enhancement Note: The company's deep roots in legal information, coupled with its aggressive push into AI, creates a unique environment for UX researchers. The scale of RELX implies access to significant resources and opportunities for impact, while the specific focus on legal professionals and AI necessitates a specialized understanding of user needs in a complex domain.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a Senior UX Researcher I, indicating a mid-to-senior level professional who is expected to lead research initiatives independently, influence product strategy, and contribute to the growth of the research function.

Reporting Structure: The Senior UX Researcher will likely report to a UX Research Lead or Manager. They will collaborate closely with Product Managers, Designers, and Engineering Leads on specific product teams, and potentially with AI practitioners.

Operations Impact: The researcher's impact extends beyond user satisfaction. By providing critical insights into user needs and behaviors with AI tools, they directly influence the development of more effective, efficient, and ethically sound legal products. This impacts customer productivity, competitive positioning, and the advancement of legal practice through technology.

Growth Opportunities:

• Specialization: Deepen expertise in AI-driven product research, legal technology UX, or specific research methodologies.

• Leadership: Progress to a Lead UX Researcher or Managerial role, overseeing research strategy and teams.

• Cross-functional Influence: Expand influence into broader product strategy, GTM planning, and AI ethics discussions.

• Mentorship: Develop leadership skills by mentoring junior researchers and contributing to team best practices.

• Industry Expertise: Become a recognized expert in UX research within the legal tech and AI space.

📝 Enhancement Note: This role offers a clear path for growth within a specialized and high-impact area of technology. The opportunity to shape AI products in the legal sector, combined with mentorship and leadership potential, makes it attractive for ambitious UX professionals.

🌐 Work Environment

Office Type: Hybrid work model. This suggests a combination of in-office collaboration and remote work. The specific office environment in New York, NY, is likely a modern corporate setting designed to foster collaboration and innovation.

Office Location(s): New York, NY. This location offers access to a vibrant tech and legal ecosystem.

Workspace Context:

• Collaborative Environment: The hybrid model encourages in-office days for team meetings, brainstorming sessions, and building cross-functional relationships with product, design, and engineering.

• Tools & Technology: Access to industry-standard UX research tools, analytics platforms, and cutting-edge AI technologies relevant to product development.

• Team Interaction: Opportunities to engage with a diverse team of researchers, designers, product managers, and AI experts, fostering a dynamic and knowledge-rich environment.

Work Schedule: Flexible working hours are offered, allowing employees to adjust their daily schedules to optimize productivity and work-life balance, aligning with the operational needs of a global tech company.

📝 Enhancement Note: The hybrid model and flexible hours reflect a modern approach to work, aiming to balance the need for in-person collaboration with employee autonomy and well-being, which is crucial for retaining top talent in specialized roles like AI UX research.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: Likely involves a recruiter call to assess basic qualifications, experience, and cultural fit.

• Hiring Manager Interview: A deeper dive into your experience, research approach, and understanding of AI and legal tech.

• Portfolio Review: A critical stage where you will present 2-3 of your most relevant research projects, demonstrating your process, insights, and impact. Be prepared to discuss your role, methodologies, and how your work influenced product decisions.

• Skills-Based Exercise/Case Study: You may be given a hypothetical research problem or asked to analyze a dataset to assess your problem-solving skills, research planning, and synthesis abilities. This could involve AI-related scenarios.

• Cross-functional Interviews: Meetings with potential collaborators (e.g., Product Managers, Designers, Engineers) to evaluate your collaboration style and ability to work effectively within a product team.

• Final Interview: Potentially with a senior leader to discuss strategic alignment and long-term fit.

Portfolio Review Tips:

• Prioritize Relevance: Select projects that showcase your experience with generative research, AI tools, complex problem-solving, and influencing product strategy.

• Tell a Story: Structure your case studies with a clear narrative: problem, approach, insights, impact, and learnings. Quantify impact whenever possible.

• Highlight AI Experience: Explicitly detail how you've used Generative AI tools in your research process and the benefits derived.

• Demonstrate Strategic Thinking: Show how your research moved beyond usability to inform broader product direction and business goals.

• Be Prepared for Questions: Anticipate questions about your methodologies, decision-making process, handling ambiguity, and managing stakeholders.

Challenge Preparation:

• Understand the Domain: Research LexisNexis, RELX, legal tech trends, and the role of AI in the legal industry.

• Practice Research Design: Be ready to outline a research plan for a given problem, considering target users, methodologies, and timelines.

• Synthesize and Recommend: Practice distilling complex information into actionable recommendations.

• Articulate AI Impact: Be prepared to discuss how AI can impact user workflows and how research can guide its ethical and effective implementation.

📝 Enhancement Note: The emphasis on a portfolio review and potential case study highlights the practical, results-oriented nature of this role. Candidates should prepare to demonstrate not just research skills, but also strategic thinking and proficiency with emerging technologies like Generative AI in a professional context.

🛠 Tools & Technology Stack

Primary Tools:

• UX Research Platforms: Tools for participant recruitment, scheduling, and remote moderated/unmoderated testing (e.g., UserTesting.com, Lookback, Maze, UserZoom/Appen).

• Generative AI Tools: Experience with AI tools for data analysis, synthesis, summarization, content generation, or insight discovery (e.g., ChatGPT, Bard, Claude, specialized research AI platforms).

• Collaboration Tools: Platforms for team communication and project management (e.g., Slack, Microsoft Teams, Asana, Jira).

Analytics & Reporting:

• Web/Product Analytics: Tools for understanding user behavior within products (e.g., Google Analytics, Adobe Analytics, Amplitude, Mixpanel).

• Survey Tools: Platforms for designing and distributing quantitative and qualitative surveys (e.g., SurveyMonkey, Qualtrics, Google Forms).

• Data Visualization Tools: For creating compelling charts and dashboards to present research findings (e.g., Tableau, Power BI, Looker).

CRM & Automation:

• While not directly managing a CRM, understanding how user data is captured and managed within CRM systems (like Salesforce) can be beneficial for understanding user context.

• Automation tools might be used for participant recruitment or data processing, though specific tools are not listed.

📝 Enhancement Note: The explicit mention of "Generative AI tools" is a critical requirement. Proficiency in standard UX research platforms and analytics tools is expected, but the ability to leverage AI for research efficiency and depth is a key differentiator for this role.

👥 Team Culture & Values

Operations Values:

• User-Centricity: A deep commitment to understanding and advocating for the user (legal professionals) in all product development decisions.

• Data-Driven Approach: Valuing research insights, behavioral data, and analytics to inform strategy and measure impact.

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

• Innovation & Continuous Learning: Embracing new technologies like Generative AI and constantly seeking to improve research methodologies and product outcomes.

• Ethical AI: Adherence to Responsible AI Principles, ensuring fairness, transparency, and accountability in AI-powered products.

Collaboration Style:

• Cross-functional Integration: Actively participating in product team cadences (stand-ups, planning, retrospectives) to embed research insights throughout the development lifecycle.

• Proactive Communication: Regularly sharing findings and insights with stakeholders, facilitating discussions, and seeking feedback to ensure alignment.

• Mentorship & Knowledge Sharing: A culture that encourages senior members to guide and develop junior talent, and for all team members to share best practices and learnings.

📝 Enhancement Note: The company's emphasis on Responsible AI Principles is a significant cultural aspect that researchers must embody. The collaborative nature of product development in a tech company like RELX means strong interpersonal and communication skills are as vital as research expertise.

⚡ Challenges & Growth Opportunities

Challenges:

• Navigating Ambiguity in AI: The rapidly evolving nature of AI and its application in complex domains like law presents inherent ambiguity. Researchers must be adept at defining research questions and synthesizing findings in this dynamic landscape.

• Translating Complex Needs: Understanding the nuanced workflows and critical needs of legal professionals, and translating these into requirements for AI-powered tools, requires deep domain empathy and analytical skill.

• Integrating AI Research Tools: Effectively leveraging and evaluating new AI-assisted research tools to enhance efficiency and insight quality, while maintaining methodological rigor.

• Balancing Generative & Evaluative Research: Managing a diverse research portfolio that includes both exploratory/generative work to uncover new opportunities and evaluative work to refine existing features.

Learning & Development Opportunities:

• AI Specialization: Opportunities to become a subject matter expert in researching AI-driven products, particularly in the legal sector.

• Strategic Influence: Developing skills to influence product strategy and roadmaps at a higher level.

• Mentorship & Leadership: Gaining experience in mentoring junior researchers and contributing to the growth of the UX research practice.

• Industry Exposure: Engaging with cutting-edge AI technology and the evolving legal tech landscape.

• Professional Development: Access to study assistance and potentially industry conferences to enhance skills and network.

📝 Enhancement Note: This role is ideal for a researcher who thrives in complex, cutting-edge environments and is eager to tackle challenges related to emerging technologies like AI within a professional services context.

💡 Interview Preparation

Strategy Questions:

• "Describe a complex research initiative you led from conception to completion. What was the business problem, what methods did you use, what were your key findings, and what was the impact on the product or business?" (Focus on demonstrating end-to-end ownership, strategic impact, and methodological rigor).

• "How have you used Generative AI tools in your research process? Provide a specific example of how it improved your efficiency or the quality of your insights." (Be ready to detail the tools, your specific use case, and measurable benefits).

• "Imagine you need to research how legal professionals might interact with a new AI summarization tool for case documents. Outline your research plan, including your target users, methodologies, and key questions you'd seek to answer." (Demonstrate your ability to design research for AI products in a professional domain). Company & Culture Questions:

• "What interests you about LexisNexis and our work in legal tech and AI?" (Show you've researched the company, understand their mission, and see the connection to your skills).

• "How do you approach collaborating with product managers, designers, and engineers, especially when research findings challenge existing assumptions?" (Highlight your communication, facilitation, and stakeholder management skills).

• "How do you ensure your research is ethical, particularly when dealing with sensitive user data or AI applications?" (Reference Responsible AI Principles and your own ethical considerations). Portfolio Presentation Strategy:

• Structure: Use a clear narrative for each case study: problem definition, research objectives, methodology (including AI tool usage), key insights, impact (quantified if possible), and learnings.

• Visuals: Use compelling visuals (e.g., key quotes, personas, journey maps, screenshots) to illustrate your points, but avoid overwhelming slides.

• Conciseness: Focus on the most critical aspects of each project. Be prepared to go deeper on any area based on interviewer interest.

• Engagement: Treat it as a conversation, not a lecture. Encourage questions and be ready to discuss trade-offs and alternative approaches.

📝 Enhancement Note: Preparation should heavily emphasize the AI aspect of the role. Candidates need to articulate not just their research skills, but also their understanding of how AI impacts user experience and how they leverage AI tools themselves.

📌 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/Sr-UX-Researcher-I_R113842).

• Tailor Your Resume: Highlight keywords and experiences directly related to UX research, qualitative/quantitative methods, Generative AI tools, stakeholder management, product strategy, and legal tech if applicable. Quantify achievements wherever possible.

• Curate Your Portfolio: Select 2-3 of your strongest research projects that best showcase your leadership, strategic impact, and experience with AI tools. Ensure each project clearly articulates the problem, your approach, insights, and outcomes.

• Prepare Your Narrative: Practice articulating your research process, key learnings, and how your work has influenced product decisions. Be ready to discuss your experience with AI tools in detail.

• Research the Company: Understand LexisNexis's mission, their position in the legal tech market, and their commitment to AI and Responsible AI Principles. This will help tailor your responses and demonstrate genuine interest.

⚠️ 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.