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Legal Data Science Jobs in Raleigh, NC (NOW HIRING)

LexisNexis Legal & Professional, serving customers in over 150 countries with 11,800 employees ... Define and execute the data science vision and roadmap aligned with business objectives and ...

LexisNexis Legal & Professional, serving customers in over 150 countries with 11,800 employees ... Define and execute the data science vision and roadmap aligned with business objectives and ...

LexisNexis Legal & Professional, serving customers in over 150 countries with 11,800 employees ... Define and execute the data science vision and roadmap aligned with business objectives and ...

... to data science (Python, R, etc.) and big data technologies. Company : LexisNexis is a data analytics company that provides information solutions and law legal databases to Law and corporate ...

Senior Data Scientist II

Raleigh, NC ยท On-site

$104K - $174K/yr

Collaborate with product, legal experts, and engineers to align solutions with user needs. * Mentor team members and provide technical leadership in data science and AI. Requirements: * Master ...

Senior Data Scientist II

Raleigh, NC ยท On-site

$104K - $174K/yr

Collaborate with product, legal experts, and engineers to align solutions with user needs. * Mentor team members and provide technical leadership in data science and AI. Requirements: * Master ...

LexisNexis Legal & Professional, part of RELX, provides information-based analytics and decision tools for professional and business customers. They are seeking a Senior Data Scientist to lead AI and ...

LexisNexis Legal & Professional, part of RELX, provides information-based analytics and decision tools for professional and business customers. They are seeking a Senior Data Scientist to lead AI and ...

Senior Data Scientist II

Raleigh, NC ยท Hybrid

$104K - $174K/yr

Collaborate with product, legal experts, and engineers to align solutions with user needs. * Mentor team members and provide technical leadership in data science and AI. Requirements: * Master ...

Senior Data Scientist II

Raleigh, NC ยท Hybrid

$104K - $174K/yr

Collaborate with product, legal experts, and engineers to align solutions with user needs. * Mentor team members and provide technical leadership in data science and AI. Requirements: * Master ...

Senior Data Scientist II

Raleigh, NC ยท Hybrid

$104K - $174K/yr

Collaborate with product, legal experts, and engineers to align solutions with user needs. * Mentor team members and provide technical leadership in data science and AI. Requirements: * Master ...

Senior Data Scientist III

Raleigh, NC ยท On-site +1

$115K - $192K/yr

Do you want to help us build further data science capabilities? And are you eager to work on the quality of data sources serving our end-user products? About our Team LexisNexis Legal & Professional ...

Senior Data Scientist III

Raleigh, NC ยท On-site

$115K - $192K/yr

Do you want to help us build further data science capabilities? And are you eager to work on the quality of data sources serving our end-user products? About our Team LexisNexis Legal & Professional ...

Senior Data Scientist III

Raleigh, NC ยท On-site +1

$115K - $192K/yr

Do you want to help us build further data science capabilities? And are you eager to work on the quality of data sources serving our end-user products? About our Team LexisNexis Legal & Professional ...

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Showing results 1-20

Legal Data Science information

See Raleigh, NC salary details

$26.7K

$51.8K

$82.6K

How much do legal data science jobs pay per year?

As of Jul 29, 2026, the average yearly pay for legal data science in Raleigh, NC is $51,790.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,800.00 and $58,300.00 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.
What are popular job titles related to Legal Data Science jobs in Raleigh, NC? For Legal Data Science jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Legal Data Science jobs in Raleigh, NC look for? The top searched job categories for Legal Data Science jobs in Raleigh, NC are:

Senior Manager of Data Science

Kforce Technology Staffing

Raleigh, NC โ€ข On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 21 days ago


Job description

RESPONSIBILITIES:
Kforce has a client that is seeking a Senior Manager of Data Science in Raleigh, NC.
Key Responsibilities:
Scope & Impact:
* Set the vision and strategic priorities, acting as a recognized expert for Data Science
* Lead and develop a team of data scientists and ML engineers, setting the cultural tone for the group
* Drive applied research with a clear path to production, explicitly balancing innovation against real-world constraints including latency, cost, and reliability
* Build and scale evaluation science capabilities within the team, including offline evaluation frameworks, automated benchmarking pipelines, and human-in-the-loop feedback systems to rigorously measure model quality and business impact
* Champion hands-on rapid prototyping and iteration
* Collaborate with other Data Science teams to maximize re-use of components and patterns, eliminating waste, duplication and unnecessary customization
* Operate with broad scope, coordinating across multiple cross-functional teams, systems, and domains
Technical & Product Leadership:
* Collaborate closely with other Data Science teams, to define and execute the AI roadmap across the content lifecycle, maximizing reuse in areas including: Content collection (e.g. -web scraping-) and transformation; Metadata extraction, enrichment, and classification; Agentic workflows turning real-world events and legal content into legal intelligence; AI-powered downstream product capabilities
* Design and deploy scalable, production-grade AI systems, including: LLM-powered document understanding and generation; Agentic workflows balancing agent autonomy and efficiency with required structure and accuracy; Retrieval-augmented generation (RAG) pipelines; Hybrid ML + rules-based systems for structured content
* Lead through execution and by example: Actively writing code, not just delegating
REQUIREMENTS:
* Advanced degree (Master's or PhD) in Data Science, Computer Science, Statistics, or a related field strongly preferred, or equivalent practical experience
* Bachelor's degree in a relevant field with significant applied experience in data science, machine learning, or AI
* 8+ years of relevant experience in data science, machine learning, or applied AI
* 4+ years of leadership experience (direct or indirect team management)
* Cloud infrastructure experience on AWS (preferred), Azure, or Google Cloud Platform
* Familiarity with vector databases, knowledge graphs, and hybrid retrieval architecture, CI/CD, RESTful API Design and model serving tools
* Familiarity with AI Coding Tools (e.g. GitHub CoPilot, Claude Code, OpenAI Codex)
* Proficient with Python, ML and LLM tooling such as Google ADK, LangChain, ML Frameworks (e.g. TensorFlow, PyTorch) and prompt tuning techniques
Preferred Background:
* Graduate degree in Computer Science, AI, Machine Learning, or equivalent experience
* 8+ years of post-degree experience, with 4+ years in a data science or applied AI leadership role, with a focus on NLP/LLM systems
* Prior experience in legal tech, legal AI, or document-intensive domains is highly desirable
* Familiarity with ethical/legal considerations in deploying generative AI in professional settings
Success in this role requires:
* Leading through both technical expertise and organizational influence
* Acting as a change agent, embedding best practices into workflows and systems
* Driving both team development and strategic outcomes across a broad scope
* Ability to select the right tools and technologies to solve business problems
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.