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Are you passionate about turning complex legal data into actionable insights - and leveraging AI to do it faster and smarter? Do you thrive on uncovering patterns, trends, and anomalies that others miss - using both traditional analytics and AI-powered techniques? Can you bridge the gap between raw data, AI capabilities, and strategic decision-making?
The Applied Data Science team within Legal Operations is building the data foundation that powers AI and analytics for a global legal organization. The Legal Data Analyst role is central to this mission - leveraging AI tools to accelerate analysis, preparing data for AI consumption, and surfacing insights that drive operational excellence. The Legal Data Analyst delivers analytical insights and ensures data readiness for AI and analytics across Legal Operations. You will leverage AI tools to accelerate your work, using AI for data profiling, anomaly detection, pattern recognition, and insight generation. You will analyze legal operations data to uncover trends, perform spend and matter analysis, build forecasting models, and prepare data for AI consumption. This role combines analytical rigor with AI fluency and deep understanding of legal operations to drive data-informed decisions.
Leverage AI tools and techniques to accelerate data analysis, automate repetitive tasks, and surface insights at scale
Use AI-assisted data profiling, anomaly detection, and pattern recognition to identify data quality issues and trends faster
Analyze legal operations data to surface trends, patterns, and actionable insights across matters, spend, contracts, and vendors
Develop spend analysis, matter forecasting, and resource utilization models that inform strategic decisions - using AI to enhance predictive capabilities
Profile and assess data quality across legal systems including matter management, contract management, eBilling, and document management
Cleanse, standardize, and enrich data to meet quality thresholds required for AI and analytics consumption
Validate entity data (law firms, timekeepers, vendors, counterparties) to support entity resolution initiatives
Build analytical models that support rate negotiations, vendor performance evaluation, and outside counsel management
Partner with AI/ML Engineers to identify opportunities where AI can automate or augment analytical workflows
Document data lineage, business rules, and transformation logic
Partner with Data Stewards across practice groups to enforce data quality at the source
Develop and maintain analytical dashboards, data quality reports, and monitoring tools
Translate analytical findings into clear recommendations for practice group and leadership audiences
4+ years of experience in data analysis, business intelligence, and analytics roles
Strong proficiency in SQL, Python, and experience with analytical and data profiling tools
Experience using AI and LLM-based tools to accelerate analytical work
Experience with statistical analysis, trend analysis, and forecasting techniques
Experience working with enterprise data systems (ERP, CRM, matter management, or similar)
Strong analytical and problem-solving skills with attention to detail
Ability to communicate analytical findings and data quality insights to technical and non-technical stakeholders
Experience building in and presenting with BI and visualization tools (Tableau, Power BI, or similar)
Deriving and defining KPIs and other business impact metrics for leadership
Experience with legal operations data (matter management, eBilling, CLM, document management)
Demonstrated ability to integrate AI tools into daily analytical workflows - not just experimentation, but production use
Understanding of prompt engineering techniques to get better results from AI tools
Understanding of legal spend management, LEDES/UTBMS billing codes, and outside counsel metrics
Experience with predictive analytics and forecasting models
Familiarity with data governance frameworks and data stewardship models
Experience with data quality tools (Great Expectations, Monte Carlo, or similar)
Knowledge of entity resolution concepts and master data management
Understanding of how data quality impacts AI/ML model performance
Experience in corporate legal department or professional services environment
We’re a diverse collection of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways. The people who work here have reinvented entire industries with the Mac, iPhone, iPad, and Apple Watch, as well as with services, including iTunes, the App Store, Apple Music, and Apple Pay. And the same passion for innovation that goes into our products also applies to our practices — strengthening our commitment to leave the world better than we found it.
There’s a place here for every kind of brilliant. Everyone here is an innovator, or an innovator-to-be, no matter what your team or your role. So bring your passion, courage, and original thinking and get ready to share it, because every new product, service, or feature we invent is the result of people working together to make each others’ ideas stronger. Innovation at this level depends on people who represent the variety of the human experience and inspire us with their own fresh perspectives. Together, we’ll do amazing work that can make a difference in people’s lives. Including your own. Learn more about working at Apple.