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 ...
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 ...
Legal Data Analyst, Applied Data Science
$175K - $263K/yr
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 ...
Legal Data Analyst, Applied Data Science
$175K - $263K/yr
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 ...
Legal Data Analyst, Applied Data Science
$175K - $263K/yr
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 ...
Legal Data Analyst, Applied Data Science
$175K - $263K/yr
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 ...
Legal Data Scientist
Boston, MA · On-site
Act as a proactive partner to the finance and legal teams, identifying areas where data can solve ... Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or a related ...
Legal Data Scientist
Boston, MA · On-site
Act as a proactive partner to the finance and legal teams, identifying areas where data can solve ... Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or a related ...
eDiscovery & Legal Data Scientist
Fremont, CA · On-site
$47.64/hr
Work at the intersection of data science, legal tech, and compliance * Gain hands-on experience with leading platforms like Relativity and Microsoft Purview * Collaborate with cross-functional teams ...
eDiscovery & Legal Data Scientist
Fremont, CA · On-site
$47.64/hr
Work at the intersection of data science, legal tech, and compliance * Gain hands-on experience with leading platforms like Relativity and Microsoft Purview * Collaborate with cross-functional teams ...
Data Science Engineer
Milwaukee, WI · On-site
$77K - $108K/yr
Foley & Lardner LLP is currently seeking a Data Science Engineer to join our Business Systems and ... Assists with Data taxonomy development and maintain our taxonomy for legal data (e.g., taxonomy ...
Data Science Engineer
Milwaukee, WI · On-site
$77K - $108K/yr
Foley & Lardner LLP is currently seeking a Data Science Engineer to join our Business Systems and ... Assists with Data taxonomy development and maintain our taxonomy for legal data (e.g., taxonomy ...
Data Scientist(Analyst)
New York, NY · Remote
... legal data workflows * Familiarity with Relativity and/or Microsoft Purview * Experience supporting investigations, litigation, or compliance matters * Background in data analysis, data science ...
Quick apply
Data Scientist(Analyst)
New York, NY · Remote
... legal data workflows * Familiarity with Relativity and/or Microsoft Purview * Experience supporting investigations, litigation, or compliance matters * Background in data analysis, data science ...
Senior Data Architect, Legal Operations
Cupertino, CA · On-site
$83 - $111/hr
The Applied Data Science team within Legal Operations is building the data foundation that powers AI and analytics for a global legal organization. We're transforming how legal work gets done - and ...
Senior Data Architect, Legal Operations
Cupertino, CA · On-site
$83 - $111/hr
The Applied Data Science team within Legal Operations is building the data foundation that powers AI and analytics for a global legal organization. We're transforming how legal work gets done - and ...
Senior Data Scientist
Chicago, IL · On-site
... in applied data science. Responsibilities: - Design and implement ML and NLP solutions for ... Management, Legal, Data Engineering, BI, Data Governance, and MLOps teams - Monitor model ...
Senior Data Scientist
Chicago, IL · On-site
... in applied data science. Responsibilities: - Design and implement ML and NLP solutions for ... Management, Legal, Data Engineering, BI, Data Governance, and MLOps teams - Monitor model ...
Legal Data Research Assistant
$17 - $20/hr
... legal industry? Our researchers build, manage and maintain all client data and information ... Good majors for this role: accounting, English, political science, pre-law, computer science ...
Quick apply
Legal Data Research Assistant
$17 - $20/hr
... legal industry? Our researchers build, manage and maintain all client data and information ... Good majors for this role: accounting, English, political science, pre-law, computer science ...
Senior Data Scientist
Chicago, IL · Remote
... well-defined data science solutions, including incident prioritization and claim severity ... Management, Legal, Data Engineering, BI, Data Governance, and MLOps partners to deliver usable ...
Quick apply
Senior Data Scientist
Chicago, IL · Remote
... well-defined data science solutions, including incident prioritization and claim severity ... Management, Legal, Data Engineering, BI, Data Governance, and MLOps partners to deliver usable ...
... well-defined data science solutions, including incident prioritization and claim severity ... Management, Legal, Data Engineering, BI, Data Governance, and MLOps partners to deliver usable ...
Quick apply
... well-defined data science solutions, including incident prioritization and claim severity ... Management, Legal, Data Engineering, BI, Data Governance, and MLOps partners to deliver usable ...
Senior Data Scientist
Chicago, IL · Remote
... well-defined data science solutions, including incident prioritization and claim severity ... Management, Legal, Data Engineering, BI, Data Governance, and MLOps partners to deliver usable ...
Quick apply
Senior Data Scientist
Chicago, IL · Remote
... well-defined data science solutions, including incident prioritization and claim severity ... Management, Legal, Data Engineering, BI, Data Governance, and MLOps partners to deliver usable ...
Sr. Data Scientist
Chicago, IL · On-site +1
$85 - $100/hr
EDUCATION: Master's degree in computer science, statistics, industrial engineering, or related ... Management, Legal, Data Engineering, BI, Data Governance, and MLOps partners to deliver usable ...
Quick apply
Sr. Data Scientist
Chicago, IL · On-site +1
$85 - $100/hr
EDUCATION: Master's degree in computer science, statistics, industrial engineering, or related ... Management, Legal, Data Engineering, BI, Data Governance, and MLOps partners to deliver usable ...
Sr. Data Scientist
Chicago, IL · On-site
$85 - $100/hr
EDUCATION: Master's degree in computer science, statistics, industrial engineering, or related ... Management, Legal, Data Engineering, BI, Data Governance, and MLOps partners to deliver usable ...
Sr. Data Scientist
Chicago, IL · On-site
$85 - $100/hr
EDUCATION: Master's degree in computer science, statistics, industrial engineering, or related ... Management, Legal, Data Engineering, BI, Data Governance, and MLOps partners to deliver usable ...
Overview The legal market is undergoing a period of hyper-change, driving opportunities for ... This involves leveraging data science methodologies to analyze data, identify trends, optimize ...
Overview The legal market is undergoing a period of hyper-change, driving opportunities for ... This involves leveraging data science methodologies to analyze data, identify trends, optimize ...
Sr. Data Scientist
Chicago, IL · Remote
$85 - $100/hr
EDUCATION: Master's degree in computer science, statistics, industrial engineering, or related ... Management, Legal, Data Engineering, BI, Data Governance, and MLOps partners to deliver usable ...
Sr. Data Scientist
Chicago, IL · Remote
$85 - $100/hr
EDUCATION: Master's degree in computer science, statistics, industrial engineering, or related ... Management, Legal, Data Engineering, BI, Data Governance, and MLOps partners to deliver usable ...
Overview The legal market is undergoing a period of hyper-change, driving opportunities for ... This involves leveraging data science methodologies to analyze data, identify trends, optimize ...
Overview The legal market is undergoing a period of hyper-change, driving opportunities for ... This involves leveraging data science methodologies to analyze data, identify trends, optimize ...
Senior Data Architect, Legal Operations
$184K - $277K/yr
The Applied Data Science team within Legal Operations is building the data foundation that powers AI and analytics for a global legal organization. We're transforming how legal work gets done - and ...
Senior Data Architect, Legal Operations
$184K - $277K/yr
The Applied Data Science team within Legal Operations is building the data foundation that powers AI and analytics for a global legal organization. We're transforming how legal work gets done - and ...
Manager Data Science
Raleigh, NC · On-site
$115K - $192K/yr
About our Team LexisNexis Legal & Professional, which serves customers in more than 150 countries ... The company employs over 2,000 technologists, data scientists, and experts to develop, test, and ...
Manager Data Science
Raleigh, NC · On-site
$115K - $192K/yr
About our Team LexisNexis Legal & Professional, which serves customers in more than 150 countries ... The company employs over 2,000 technologists, data scientists, and experts to develop, test, and ...
Legal Data Science information
See salary details
$27.5K - $32.7K
3% of jobs
$32.7K - $38K
7% of jobs
$38K - $43.2K
13% of jobs
$43.4K is the 25th percentile. Wages below this are outliers.
$43.2K - $48.4K
34% of jobs
$48.4K - $53.6K
13% of jobs
$56.6K is the 75th percentile. Wages above this are outliers.
$53.6K - $58.9K
9% of jobs
$58.9K - $64.1K
7% of jobs
$64.1K - $69.3K
4% of jobs
$69.3K - $74.5K
4% of jobs
$74.5K - $79.8K
3% of jobs
$79.8K - $85K
2% of jobs
$27.5K
$53.3K
$85K
How much do legal data science jobs pay per year?
As of Jul 9, 2026, the average yearly pay for legal data science in the United States is $53,278.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,000.00 and $60,000.00 per year, depending on experience, location, and employer.
What is legal data science?
Legal data science is the application of data analysis, statistical methods, and machine learning to legal data and processes. It involves extracting, processing, and interpreting large volumes of legal documents, such as court decisions, contracts, or case filings, to uncover trends, predict outcomes, automate tasks, and support decision-making in the legal industry. Legal data scientists often work with law firms, corporations, or government agencies to improve efficiency and gain insights from complex legal datasets.
What are the key skills and qualifications needed to thrive as a Legal Data Scientist, and why are they important?
To thrive as a Legal Data Scientist, you need a strong background in data analysis, statistics, and legal principles, often supported by degrees in law, computer science, or related fields. Familiarity with programming languages like Python or R, machine learning frameworks, and legal research databases is typically required. Excellent analytical thinking, attention to detail, and effective communication skills are crucial for interpreting complex legal data and collaborating with legal professionals. These skills enable you to extract valuable insights from legal datasets, drive data-informed decisions, and support compliance and litigation strategies.
What is the difference between Legal Data Science vs Legal Analyst?
| Aspect | Legal Data Science | Legal Analyst |
|---|---|---|
| Required Credentials | Degree in Data Science, Statistics, or related field; knowledge of legal concepts | Legal degree or paralegal certification; understanding of legal procedures |
| Work Environment | Data-driven teams, tech-focused settings, law firms, or legal departments | Law firms, corporate legal departments, courts |
| Employer & Industry Usage | Legal tech companies, law firms, corporate legal teams | Law firms, government agencies, corporate legal departments |
| Common Search & Comparison | Legal Data Science vs Legal Analyst |
Legal Data Science focuses on analyzing large legal datasets using data science techniques, while Legal Analysts interpret legal information and support casework. Both roles are essential in legal settings but differ in technical skills and focus areas.
What are some common challenges faced by professionals in Legal Data Science roles?
Professionals in Legal Data Science often face challenges related to data quality and accessibility, as legal data is typically unstructured, sensitive, and dispersed across multiple sources. Navigating privacy regulations, ensuring data security, and maintaining confidentiality are critical aspects of the job. Additionally, legal data scientists must bridge the gap between legal teams and technical stakeholders, translating complex legal requirements into actionable data solutions. Effective collaboration and strong communication skills are essential to address these challenges and drive successful outcomes.
More about Legal Data Science jobs
What cities are hiring for Legal Data Science jobs? Cities with the most Legal Data Science job openings:
What job categories do people searching Legal Data Science jobs look for? The top searched job categories for Legal Data Science jobs are:
Apple rating
8.1
Based on 667 frontline employees who took The Breakroom Quiz
5th of 30 rated technology retailers
Job description
Imagine what you could do here. At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish.
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.
Description
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.
Minimum Qualifications
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
Preferred Qualifications
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
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.
Description
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.
Minimum Qualifications
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
Preferred Qualifications
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
About Apple
Sourced by ZipRecruiter
Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.
Industry
Computer and electronic product manufacturing
Company size
10,000+ Employees
Headquarters location
Cupertino, CA, US
Year founded
1976