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Legal Data Science Jobs (NOW HIRING)

Foley & Lardner LLP

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 ...

Foley & Lardner LLP

Data Science Engineer

Milwaukee, WI

$77K - $108K/yr

Assists with Data taxonomy development and maintain our taxonomy for legal data (e.g., taxonomy ... Master's degree in Data Science, Computer Science, Software Engineering or similar related field of ...

Foley & Lardner LLP

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 ...

Apple

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 ...

1 point system

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 ...

Ropes & Gray

LPM Innovation Data Scientist

Boston, MA · On-site

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 ...

Ropes & Gray

LPM Innovation Data Scientist

Boston, MA · Hybrid

The legal market is undergoing a period of hyper-change, driving opportunities for innovative ... This involves leveraging data science methodologies to analyze data, identify trends, optimize ...

Ropes & Gray

LPM Innovation Data Scientist

Boston, MA · Hybrid

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 ...

Apple

Senior Data Architect, Legal Operations

Cupertino, CA · On-site

$212K - $318K/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 ...

DeepIntent

Director, Data Science

New York, NY · On-site

$200K - $250K/yr

The Director, Data Science will help shape and execute data science initiatives that drive ... Partner with legal and compliance teams to ensure responsible AI development and ethical use of ...

LexisNexis

Manager Data Science

Raleigh, NC · On-site +1

LexisNexis, a part of RELX, is a leading global provider of legal, regulatory, and business ... As a Manager, Data Science, you will become a subject matter expert, defining projects and their ...

LexisNexis

Manager Data Science

Raleigh, NC · On-site

LexisNexis, a part of RELX, is a leading global provider of legal, regulatory, and business ... As a Manager, Data Science, you will become a subject matter expert, defining projects and their ...

Mercor

Data Science Manager

New York, NY · Remote

$70 - $100/hr

Position: Data Science Experts Type: Contract Compensation: $70-$100/hour Location: Remote ... Compensation & Legal * W-2 employment with Cincinnatus LLC. Application Process (Takes 20-30 mins ...

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All JobsLegal Data Science Jobs

Legal Data Science information

See salary details

$27.5K

$53.3K

$85K

How much do legal data science jobs pay per year?

As of Jun 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?

AspectLegal Data ScienceLegal Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; knowledge of legal conceptsLegal degree or paralegal certification; understanding of legal procedures
Work EnvironmentData-driven teams, tech-focused settings, law firms, or legal departmentsLaw firms, corporate legal departments, courts
Employer & Industry UsageLegal tech companies, law firms, corporate legal teamsLaw firms, government agencies, corporate legal departments
Common Search & ComparisonLegal 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:
Legal Data Science jobs near you
Infographic showing various Legal Data Science job openings in the United States as of June 2026, with employment types broken down into 79% Full Time, 5% Part Time, 5% Temporary, and 11% Contract. Highlights an 78% In-person, 11% Hybrid, and 11% Remote job distribution, with an average salary of $53,278 per year, or $25.6 per hour.
Legal Data Analyst, Applied Data Science

Legal Data Analyst, Applied Data Science

Apple

Cupertino, CA • On-site

Full-time

Posted 8 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

6th 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.
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.
4+ years of experience in data analysis, business intelligence, and analytics rolesStrong proficiency in SQL, Python, and experience with analytical and data profiling toolsExperience using AI and LLM-based tools to accelerate analytical workExperience with statistical analysis, trend analysis, and forecasting techniquesExperience working with enterprise data systems (ERP, CRM, matter management, or similar)Strong analytical and problem-solving skills with attention to detailAbility to communicate analytical findings and data quality insights to technical and non-technical stakeholdersExperience 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 useUnderstanding of prompt engineering techniques to get better results from AI toolsUnderstanding of legal spend management, LEDES/UTBMS billing codes, and outside counsel metricsExperience with predictive analytics and forecasting modelsFamiliarity with data governance frameworks and data stewardship modelsExperience with data quality tools (Great Expectations, Monte Carlo, or similar)Knowledge of entity resolution concepts and master data managementUnderstanding of how data quality impacts AI/ML model performanceExperience in corporate legal department or professional services environment

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apple logo

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

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