Sr UX Researcher I

📍 Job Overview

Job Title: Sr UX Researcher I

Company: Reed Technology

Location: New York, NY, United States

Job Type: Full time

Category: User Experience Research / Product Insights

Date Posted: 2026-08-27

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

Remote Status: Hybrid

🚀 Role Summary

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

• Drive product strategy and influence user experiences by translating deep user insights into actionable recommendations for product, design, and engineering teams.

• Conduct rapid discovery research in fast-paced product development environments, engaging directly with legal professionals to understand workflows and unmet needs.

• Leverage analytics, behavioral data, and AI-assisted tools to enhance research synthesis and insight generation.

• Mentor and guide junior researchers on research methodologies, effective storytelling, and stakeholder engagement to foster team growth and best practices.

📝 Enhancement Note: This role is positioned as a Senior UX Researcher I, indicating a need for demonstrated leadership in research initiatives and a capacity to mentor others. The focus on AI-powered legal products and generative AI tools suggests a forward-thinking research environment within a legal technology context.

📈 Primary Responsibilities

• Spearhead end-to-end UX research projects, encompassing generative, evaluative, and strategic study designs for AI-enabled legal products.

• Partner collaboratively with Product Managers, Designers, Engineers, and AI Practitioners to shape product strategy and enhance user experiences.

• Conduct in-depth discovery research to identify user needs, pain points, and opportunities within rapidly evolving product development cycles.

• Analyze qualitative and quantitative data, including behavioral data and AI-assisted insights, to inform comprehensive user understanding.

• Develop and present clear, compelling research findings and actionable recommendations to diverse stakeholders, influencing product roadmaps and business decisions.

• Mentor and coach other researchers, fostering their development in areas such as research methodology, data synthesis, and effective communication of insights.

• Stay abreast of emerging trends in UX research, AI, and legal technology to continuously improve research practices and product innovation.

📝 Enhancement Note: The responsibilities emphasize a blend of independent leadership in research execution and collaborative influence across product teams. The explicit mention of mentoring and AI tools highlights the seniority and specialized nature of the role within a cutting-edge legal tech environment.

🎓 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 this level of UX Research role.

Experience: 5-10 years of progressive experience in User Experience (UX) Research, with a proven track record of leading complex research initiatives.

Required Skills:

• Extensive experience conducting end-to-end UX research using a variety of qualitative and quantitative methods (e.g., user interviews, usability testing, surveys, card sorting, diary studies).

• Demonstrated ability to independently lead and manage complex research initiatives from initial planning and stakeholder alignment through to insight delivery and impact measurement.

• Proven experience in conducting generative and discovery research to uncover unmet user needs and identify strategic product opportunities.

• Hands-on experience utilizing Generative AI tools to support research workflows, such as data analysis, synthesis, or content generation for research materials.

• Strong analytical and synthesis skills, with the ability to distill complex, ambiguous data into clear, strategic, and actionable product guidance.

• Excellent stakeholder management, facilitation, and communication skills, with the ability to influence cross-functional partners and executive leadership.

• Proven experience collaborating effectively with product managers, designers, engineers, and data scientists in a product development environment.

• Ability to manage multiple competing priorities in fast-paced, agile environments with a high degree of autonomy and minimal oversight. Preferred Skills:

• Experience researching AI-powered products, particularly within the legal technology or professional services sector.

• Familiarity with legal workflows, the legal profession, and the unique needs of legal professionals.

• Experience with advanced quantitative research methods and statistical analysis.

• Knowledge of product analytics tools and how to integrate behavioral data with qualitative insights.

• Experience in mentoring and developing junior UX researchers.

• Familiarity with RELX Responsible AI Principles and their application in product development.

📝 Enhancement Note: The requirements highlight a strong foundation in traditional UX research methodologies, coupled with a critical need for experience in generative AI and the ability to apply these to complex, professional domains like legal tech. The emphasis on independent leadership and stakeholder management points to a senior contributor role.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase a minimum of 3-5 complex research projects demonstrating end-to-end ownership, from problem definition to impactful outcomes.

• Clearly articulate the research objectives, methodologies employed, and the rationale behind method selection for each project.

• Present detailed insights derived from research, emphasizing how these insights directly informed product strategy, design decisions, or business outcomes.

• Include specific examples of how qualitative and quantitative data were synthesized to create a holistic understanding of user needs and behaviors.

• Demonstrate experience using AI tools within the research process, detailing the specific application and benefit derived.

• Highlight instances of cross-functional collaboration and stakeholder communication throughout the research lifecycle. Process Documentation:

• Provide examples of research plans, discussion guides, or survey instruments used in previous projects.

• Showcase how research findings were documented and disseminated to stakeholders, including presentation decks or reports.

• Illustrate the process of translating raw research data into actionable recommendations and strategic guidance.

• Document how user feedback and research insights were integrated into product development workflows and iteration cycles.

📝 Enhancement Note: A strong portfolio is crucial for this role, acting as a tangible demonstration of the candidate's ability to lead complex research, integrate AI tools, and drive product impact. The emphasis should be on the strategic application of research and clear articulation of outcomes.

💵 Compensation & Benefits

Salary Range: $114,300 - $190,500 USD annually.

This range reflects the base pay for a Senior UX Researcher I in New York, NY, and is subject to adjustment based on the candidate's qualifications, experience, and specific skill set.

Benefits:

• 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 breaks and rejuvenation.

• Eligibility for an annual incentive bonus, tied to company and individual performance.

• Comprehensive country-specific benefits package (details available via provided link).

Working Hours: 40 hours per week, with flexible working hours to accommodate individual productivity peaks and work-life balance.

📝 Enhancement Note: The salary range provided is based on the explicit data in the job description and aligns with industry benchmarks for senior-level UX researchers in high-cost-of-living areas like New York City. The inclusion of flexible working hours and a comprehensive benefits package underscores the company's commitment to employee well-being and work-life integration.

🎯 Team & Company Context

🏢 Company Culture

Industry: Legal & Professional Information, Technology, and Analytics. LexisNexis Legal & Professional is a key player in the legal tech sector, leveraging advanced technologies, including AI, to serve legal professionals globally.

Company Size: Part of RELX, a global provider with 11,800 employees worldwide. LexisNexis itself employs over 2,000 technologists, data scientists, and experts, indicating a large, resource-rich organization with significant investment in technology and innovation.

Founded: LexisNexis has a long history as a digital pioneer, being the first to bring legal and business information online. This deep legacy combined with a forward-looking approach to AI deployment shapes its culture.

Team Structure:

• The UX Research team likely operates within a larger Product or Design organization, collaborating closely with Product Management, Engineering, and dedicated AI practitioners.

• This Senior role suggests a structure where researchers lead initiatives and may mentor junior members, indicating a tiered research function.

• Cross-functional collaboration is a core aspect, with researchers acting as a bridge between user needs and product development teams. Methodology:

• Emphasis on data-driven decision-making, integrating qualitative insights with quantitative analytics and behavioral data.

• Strategic application of UX research to inform product strategy, particularly in the rapidly evolving AI landscape.

• Commitment to ethical AI development, adhering to RELX's Responsible AI Principles.

• Focus on understanding complex user workflows (legal professionals) and translating those into intuitive, AI-powered product experiences.

Company Website: https://www.relx.com/, https://www.lexisnexis.com/

📝 Enhancement Note: The company's position as a leader in legal tech and its deep integration of AI suggest a dynamic and intellectually stimulating environment. The emphasis on Responsible AI Principles is a critical cultural differentiator for candidates interested in ethical technology development.

📈 Career & Growth Analysis

Operations Career Level: This role is designated as "Sr UX Researcher I," indicating a mid-to-senior level position. It signifies a need for substantial independent research leadership and the capacity to mentor others, moving beyond execution to strategic influence and team development within the UX research discipline.

Reporting Structure: The Senior UX Researcher will likely report to a UX Research Manager, Director of UX, or Head of Product Insights. They will collaborate extensively with Product Managers, Designers, Engineers, and AI specialists, acting as a key partner in the product development lifecycle.

Operations Impact: The impact of this role is significant, directly influencing the strategy and user experience of AI-powered legal products. By translating user insights into actionable recommendations, the researcher helps shape product direction, enhance user adoption, improve product-market fit, and ultimately contribute to business success and the advancement of the rule of law through better technology.

Growth Opportunities:

• Specialization: Deepen expertise in AI-driven user research, legal tech, or specific research methodologies.

• Leadership: Progress to a Lead UX Researcher role, managing larger initiatives or a portfolio of products, or move into a management track, leading a team of researchers.

• Cross-functional Advancement: Transition into Product Management or Design Strategy roles by leveraging deep user understanding and strategic thinking.

• Skill Development: Opportunities for continuous learning through internal training, external conferences, and potentially certifications in AI or advanced research techniques.

📝 Enhancement Note: The "Sr UX Researcher I" title, coupled with the responsibilities, suggests a clear career path that involves both deepening research expertise and developing leadership and mentoring skills. The growth opportunities are tied to both specialized research contributions and broader product development influence.

🌐 Work Environment

Office Type: Hybrid. This means the role requires a combination of in-office work and remote work, offering flexibility while maintaining in-person collaboration.

Office Location(s): New York, NY. The primary base for the role is in New York City, implying access to a vibrant professional ecosystem and potential for in-person team collaboration.

Workspace Context:

• The hybrid model allows for focused individual work remotely and collaborative sessions, brainstorming, and team building in the office.

• As part of a large tech organization, expect access to modern office facilities and potentially collaborative workspaces designed for cross-functional interaction.

• The role involves close collaboration with product, design, and engineering teams, suggesting a dynamic and interactive work environment when in the office.

• Access to necessary tools and technologies for remote and in-office research will be provided.

Work Schedule: The standard working hours are 40 hours per week, with a strong emphasis on flexible working hours. This allows employees to adjust their daily schedules to optimize productivity and personal commitments, a key aspect of the company's work-life balance initiatives.

📝 Enhancement Note: The hybrid nature of the role and flexible working hours are significant aspects for candidates seeking work-life integration. The New York City location offers a prime professional setting for networking and collaboration within the tech and legal industries.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or hiring manager will review applications and conduct a brief screening call to assess basic qualifications and cultural fit.

• Portfolio Presentation: Candidates will likely be asked to present a selection of their work, showcasing end-to-end research projects, methodologies, insights, and impact. This is a critical stage for demonstrating expertise.

• Technical/Behavioral Interviews: In-depth interviews with hiring managers, potential peers, and cross-functional partners (e.g., Product Managers, Designers). These will assess research skills, problem-solving abilities, stakeholder management, and experience with AI tools.

• Case Study/Research Challenge: A practical exercise may be given, requiring candidates to outline a research plan for a given problem or analyze provided data, demonstrating their approach to complex research scenarios.

• Final Interview: Potentially with senior leadership to discuss strategic alignment and overall fit.

Portfolio Review Tips:

• Curate Strategically: Select 3-5 projects that best highlight your leadership in complex research, your ability to use AI tools, and your impact on product strategy and outcomes.

• Tell a Story: For each project, clearly articulate the problem, your approach, the key insights, and the tangible results or impact on the product or business. Use visuals effectively.

• Highlight AI Integration: Explicitly detail how you used Generative AI or other AI tools in your research process and the specific benefits or efficiencies gained.

• Quantify Impact: Whenever possible, use data and metrics to demonstrate the success of your research (e.g., improved conversion rates, reduced support tickets, increased user satisfaction).

• Demonstrate Collaboration: Show how you partnered with product, design, and engineering teams, and how you communicated your findings to various stakeholders.

Challenge Preparation:

• Research AI in Legal Tech: Understand current trends and challenges in applying AI to legal products and services.

• Methodology Fluency: Be prepared to discuss and justify your choice of research methods for various scenarios, especially those involving AI products.

• Problem-Solving: Practice outlining research plans for ambiguous problems, focusing on breaking them down into actionable research questions and methods.

• Communication Skills: Prepare to articulate your thought process, findings, and recommendations clearly and concisely, as if presenting to a mixed audience of technical and non-technical stakeholders.

📝 Enhancement Note: The interview process heavily emphasizes portfolio presentation and practical application of research skills, particularly with AI. Candidates should prepare to articulate their experience with AI tools and demonstrate strategic thinking in their research approach.

🛠 Tools & Technology Stack

Primary Tools:

• UX Research Platforms: Tools for managing user recruitment, scheduling, and conducting remote research sessions (e.g., UserTesting.com, Lookback, Maze).

• Qualitative Data Analysis Software: Tools to help organize, code, and analyze qualitative data (e.g., Dovetail, NVivo, Condens).

• Survey Tools: For designing and distributing surveys and questionnaires (e.g., Qualtrics, SurveyMonkey, Google Forms).

• Generative AI Tools: Specific AI tools used to support research workflows, such as for data synthesis, ideation, or preliminary analysis.

Analytics & Reporting:

• Product Analytics: Tools for understanding user behavior within the product (e.g., Google Analytics, Amplitude, Mixpanel).

• Data Visualization Tools: For creating dashboards and reports to communicate insights (e.g., Tableau, Power BI, Looker).

• Behavioral Data Platforms: Systems that capture and analyze user interactions.

CRM & Automation:

• While not directly a CRM role, familiarity with how user insights can feed into CRM strategies or product development pipelines is beneficial.

• Understanding of workflow automation tools may be advantageous for understanding how research insights can drive efficiency in product development or user support.

📝 Enhancement Note: The emphasis on "AI-assisted tools" and "Generative AI tools" for research workflows is a key differentiator. Candidates should be prepared to discuss their experience with such tools and how they integrate them into their research practice.

👥 Team Culture & Values

Operations Values:

• User-Centricity: A deep commitment to understanding and advocating for the user, ensuring products meet their needs effectively.

• Data-Driven Innovation: Leveraging both qualitative insights and quantitative data to inform strategic decisions and drive innovation, particularly with AI.

• Collaboration & Partnership: Working closely with cross-functional teams (Product, Design, Engineering, AI) to achieve shared goals.

• Continuous Learning: Embracing new methodologies, technologies (especially AI), and industry trends to stay at the forefront of UX research.

• Ethical Technology: Adhering to principles of responsible AI development and deployment, ensuring fairness, transparency, and accountability.

Collaboration Style:

• Integrated Approach: UX Researchers are embedded within product teams, working collaboratively throughout the development lifecycle.

• Insight Sharing: A culture of transparently sharing research findings and actively seeking input from stakeholders to refine insights and recommendations.

• Mentorship: A supportive environment where senior members guide and develop junior researchers, fostering collective growth.

• Iterative Design: Working within agile frameworks, contributing to a continuous cycle of research, design, development, and refinement.

📝 Enhancement Note: The company's values, particularly around user-centricity, data-driven innovation, and ethical AI, are central to the team's culture. Candidates should align their experience and approach with these core principles.

⚡ Challenges & Growth Opportunities

Challenges:

• Complexity of AI: Researching novel AI-powered features and understanding user interaction with complex, probabilistic systems can be challenging.

• Ambiguity in Legal Domain: Navigating the intricacies of legal workflows and user needs within a highly regulated and specialized industry.

• Rapid Development Cycles: Keeping pace with fast-moving product development and AI advancements while maintaining rigorous research standards.

• Influencing Strategy: Effectively translating complex research findings into actionable guidance that influences strategic decisions in a fast-paced environment.

Learning & Development Opportunities:

• AI Research Specialization: Opportunities to become an expert in researching AI-driven products and ethical AI considerations.

• Legal Tech Domain Expertise: Deepen understanding of the legal industry and its unique technological needs.

• Advanced Methodologies: Explore and implement cutting-edge research techniques, potentially including AI-assisted analysis or predictive modeling.

• Leadership and Mentorship: Develop skills in leading research teams, mentoring junior colleagues, and influencing product strategy at a senior level.

• Industry Conferences & Training: Access to relevant industry events and professional development programs focused on UX research, AI, and legal technology.

📝 Enhancement Note: The challenges presented are inherent to working with advanced technologies like AI in a specialized domain like legal tech. The growth opportunities are geared towards developing specialized expertise and leadership within this niche.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you led a complex, multi-method UX research initiative for a novel product feature. What was your process, what were the key insights, and what was the impact on the product?"

• "How have you used Generative AI tools in your UX research process? Provide a specific example of how it improved your efficiency or the quality of your insights."

• "How do you approach synthesizing research findings from disparate sources (qualitative interviews, quantitative data, AI-assisted analysis) into a coherent and actionable strategy?" Company & Culture Questions:

• "What interests you about researching AI-powered legal products and why LexisNexis?"

• "How do you see your role as a Senior UX Researcher contributing to our Responsible AI Principles?"

• "Describe your experience mentoring junior researchers or contributing to the advancement of UX best practices within a team." Portfolio Presentation Strategy:

• Structure Your Narrative: For each case study, clearly define the problem, your role, the methodology, your unique contributions (especially AI usage), key findings, and the measurable impact.

• Show, Don't Just Tell: Use visuals, mockups, or anonymized data to illustrate your process and findings. For AI-assisted analysis, show the output and how you interpreted it.

• Focus on Impact: Quantify the business or product impact of your research wherever possible.

• Be Prepared for Deep Dives: Anticipate detailed questions about your methodology choices, decision-making process, and how you handled challenges.

• Articulate Collaboration: Be ready to discuss how you partnered with product managers, designers, and engineers, and how you managed stakeholder expectations.

📝 Enhancement Note: Interview preparation should focus on demonstrating leadership, expertise in AI-assisted research, and the ability to translate complex findings into strategic product decisions, all within the context of the legal technology industry.

📌 Application Steps

To apply for this Sr UX Researcher I position:

• Submit your application through the provided Workday portal link.

• Curate Your Portfolio: Select 3-5 of your most impactful UX research projects, emphasizing those involving complex problem-solving, generative AI tools, and significant product influence. Ensure clear articulation of your process, insights, and measurable outcomes.

• Tailor Your Resume: Highlight experience in end-to-end UX research, generative AI tools, stakeholder management, and mentorship. Use keywords from the job description to ensure ATS compatibility.

• Prepare Your Presentation: Practice delivering a concise and compelling presentation of your selected portfolio projects, focusing on your strategic approach and the impact of your research. Be ready to discuss your use of AI tools in detail.

• Research LexisNexis and RELX: Familiarize yourself with their products, their commitment to Responsible AI, and their position in the legal tech market. Understand their company values and how your approach aligns with them.

⚠️ 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.