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Legal Data Science Jobs (NOW HIRING)

Manager Data Science

Raleigh, NC · On-site +1

$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 ...

Manager Data Science

Raleigh, NC · On-site +1

$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 ...

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 ...

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 ...

Manager, Data Science

Chicago, IL · On-site

$136K - $204K/yr

... Finance, Legal, Sustainability, Commercial, Digital and E-commerce, Technology and more ... OverviewThe Data Science Manager II will lead a team focused on delivering business insights using ...

AI Data Engineer

Cupertino, CA · On-site

$141K - $169K/yr

The Applied Data Science team within Legal Operations is building production-grade AI for a global legal organization - and every AI system is only as good as the data flowing into it. The AI Data ...

Support Center - Irving The Manager - Data Science role is critical in helping to determine which ... S. must satisfy federal, state, and local legal requirements of the job. At The Michaels Companies ...

Support Center - Irving The Manager - Data Science role is critical in helping to determine which ... S. must satisfy federal, state, and local legal requirements of the job. At The Michaels Companies ...

Data Science Lead

Des Moines, IA · On-site

$121K - $146K/yr

Partner with Security/Legal to complete risk assessments and approvals; incorporate auditability ... Data science Data Modeling and Machine Learning modeling, or analytics Azure Machine Learning Azure ...

Senior Analyst, Data Science

Fort Mill, SC · On-site

$75K - $95K/yr

... Legal, and Risk . This role sits on a small, high-leverage data science team within our Data Analytics & Reporting organization, chartered to deliver trusted, AI-enabled insights that drive ...

... Legal, Life), Defined Contribution Retirement Plan. Qualifications * Master's Degree in Data ... Master's Degree in Data Science, Computer Science, Statistics, or equivalent * 5+ years of ...

You are expected to work cross-functionally, including: engineering, product managers, lifecycle marketing, data science, design, operations, finance, risk, legal, compliance, and executive teams to ...

You are expected to work cross-functionally, including: engineering, product managers, lifecycle marketing, data science, design, operations, finance, risk, legal, compliance, and executive teams to ...

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Showing results 1-20

Legal Data Science information

See salary details

$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?

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:
Infographic showing various Legal Data Science job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $53,278 per year, or $25.6 per hour.
Manager Data Science

Manager Data Science

LexisNexis

Raleigh, NC • On-site, Remote

$115K - $192K/yr

Full-time

Posted 9 days ago


LexisNexis rating

7.6

Company rating: 7.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

155th of 442 rated business services


Job description

Are you ready for a leading role?

Would you enjoy working on our cutting-edge products?

About our Team
LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX (http://www.relx.com), a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today's top model creators for each individual legal use case. The company employs over 2,000 technologists, data scientists, and experts to develop, test, and validate solutions in line with RELX Responsible AI Principles (https://stories.relx.com/responsible-ai-principles/index.html).

About the Role

As a Manager, Data Science, you will be a subject matter expert, defining projects and their execution. Leading direct and indirect reports, you'll influence and mentor distributed teams in best practices and methodologies.

We are seeking candidates who are highly experienced in leading the development and deployment of advanced AI and machine learning models. The ideal candidate will have a deep understanding of machine learning algorithms, experience working with large datasets, and a track record of delivering high-quality results. You will work closely with other data scientists and engineers to design, develop, and deploy cutting-edge AI solutions.

Key Responsibilities

  • Lead the development of advanced AI and machine learning models to solve complex business problems.

  • Collaborate with other data scientists and engineers to design, develop, and deploy AI solutions.

  • Work with cross-functional teams to ensure AI solutions align with business goals and customer needs.

  • Analyze large datasets to identify patterns and trends that inform AI development.

  • Communicate findings and insights to stakeholders in a clear and concise manner.

  • Stay current with the latest AI and machine learning trends and technologies.

  • Mentor junior data scientists and provide guidance on best practices.

  • Drive best practices across data science functions.

  • Set strategy and team direction, with a clear vision for Data Science.

  • Work with product leaders to apply data science solutions.

  • Evaluate and create new frameworks, define methodologies and governance.

  • Lead small- to medium-sized teams (direct or indirect).

  • Set a high bar for model development.

Requirements

  • Substantial experience in a senior data scientist role.

  • Experience leading complex projects and customer relationships.

  • Significant experience managing larger technical teams (direct or indirect).

  • Experience mentoring or training others, acting as a subject matter expert.

  • Natural problem solver, able to lead collaboration to resolve issues.

  • Excellent communication skills, able to convey information clearly to senior stakeholders.

Highly Desired Skills and Experience

  • PhD or Master's degree in Computer Science, Mathematics, Statistics, or a related field.

  • 5 + years of people management experience.

  • 10 + years of experience in AI and machine learning.

  • Deep understanding of machine learning algorithms, including deep learning, gradient boosting, and random forests.

  • Experience with design and delivery of Agentic AI solutions.

  • Experience with large language models and Transformer-based architectures.

  • Experience with reinforcement learning, prompt engineering, hallucination mitigation.

  • Understanding of business risks associated with applying LLMs.

  • Experience with large datasets and distributed computing systems (Hadoop, Spark).

  • Strong coding skills in Python or another programming language.

  • Excellent communicator, able to translate complex technical concepts to non-technical stakeholders.

  • Strong problem-solving skills and the ability to think outside the box.

Work in a Way That Works for You

We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.

Working Pattern

Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.

About the Business

LexisNexis Legal & Professional provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis and Nexis services.

U.S. National Base Pay Range: $115,400 - $192,300. Geographic differentials may apply in some locations to better reflect local market rates. This job is eligible for an annual incentive bonus.

We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.

We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Formor please contact 1-855-833-5120.

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We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

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