ZipRecruiter

Log In

1

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

RELX Group plc

Applied AI Engineer

Raleigh, NC · On-site

Collaborate with Product, Engineering, Data Science, UX, Security, and Legal teams to support the adoption of AI and machine learning capabilities across products and platforms. * Create technical ...

RELX Group plc

Applied AI Engineer

Raleigh, NC

Collaborate with Product, Engineering, Data Science, UX, Security, and Legal teams to support the adoption of AI and machine learning capabilities across products and platforms. * Create technical ...

RELX

Applied AI Engineer

Raleigh, NC · On-site

Collaborate with Product, Engineering, Data Science, UX, Security, and Legal teams to support the adoption of AI and machine learning capabilities across products and platforms. * Create technical ...

LexisNexis

Applied AI Engineer

Raleigh, NC · On-site

Collaborate with Product, Engineering, Data Science, UX, Security, and Legal teams to support the adoption of AI and machine learning capabilities across products and platforms. * Create technical ...

Gilead

Assoc Director, IT Data Engineering

Raleigh, NC · Hybrid

Hands on experience as a lead data scientist, AI/ML engineer, data engineer or solution architect ... legal duty to furnish information; or (d) otherwise protected by law. Our environment respects ...

Gilead

Assoc Director, IT Data Engineering

Raleigh, NC · Hybrid

Hands on experience as a lead data scientist, AI/ML engineer, data engineer or solution architect ... legal duty to furnish information; or (d) otherwise protected by law. Our environment respects ...

RELX

Consulting Data Engineer

Raleigh, NC

$104K - $174K/yr

... 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 ( About the Role Do you ...

LexisNexis

Consulting Data Engineer

Raleigh, NC · On-site

$104K - $174K/yr

... 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 ( About the Role Do you ...

RELX Group plc

Consulting Data Engineer

Raleigh, NC · On-site

$104K - $174K/yr

... 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 ( About the Role Do you ...

LexisNexis

Consulting Data Engineer

Raleigh, NC

$104K - $174K/yr

... 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 ( About the Role Do you ...

LexisNexis

Consulting Data Engineer

Raleigh, NC · On-site

$104K - $174K/yr

... 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 ( About the Role Do you ...

Analogdevices

AI Governance Analyst

Durham, NC

Partner with data science, engineering, legal, cybersecurity, and product teams to embed governance controls into AI development workflows. * Facilitate AI review boards or model approval committees.

CYNET SYSTEMS

Data Analyst

Raleigh, NC · On-site

$30 - $35/hr

Experience collaborating with IT, legal, and business teams on data initiatives. Responsibilities ... Bachelor's degree in Data Analytics, Computer Science, Information Systems, Statistics, Public ...

next page

Showing results 1-20

All JobsLegal Data Science JobsLegal Data Science Jobs in Raleigh, NC

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 Jun 9, 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:
Legal Data Science jobs near you
Applied AI Engineer

Applied AI Engineer

RELX Group plc

Raleigh, NC • On-site

Full-time

Posted 7 days ago

Job description

Applied AI Engineer
About the role
LexisNexis Legal & Professional is hiring an Applied AI Engineer to help shape the next generation of AI-powered legal products and developer experiences.
As an Applied AI Engineer at LexisNexis, you will partner with internal teams and enterprise stakeholders to help build AI-powered applications and workflows on top of LexisNexis AI platforms, legal content, and AI-powered workflows and agent-based capabilities. You will work directly with engineering, AI engineering, and data science teams to design and implement production AI applications, agent workflows, and scalable LLM-powered experiences that support complex legal and professional workflows.
This role sits at the intersection of AI engineering, data scientist, developer enablement, and customer engagement. You will partner with Product, Engineering, Applied Science, and AI Platform teams to support implementation decisions, accelerate AI adoption, and help teams adopt reusable AI engineering patterns and implementation best practices.
This is a deeply hands-on role focused on building, prototyping, and iterating on AI-powered experiences. The ideal candidate combines strong software engineering fundamentals with practical experience deploying LLM applications, agent systems, and AI-native workflows in production environments.
What you'll do
Start with customers
  • Spend real time with lawyers, legal operations teams, and our internal subject-matter experts - in their offices, on their calls, watching their workflows. Develop a strong understanding of customer workflows and operational challenges through direct engagement.
  • Translate ambiguous, half-formed customer pain into crisp problem statements the team can build against.
  • Collaborate closely with customers and internal stakeholders to prototype, validate, and refine AI-powered workflows and user experiences based on customer feedback and observed user needs.
  • Bring the customer voice back into our roadmaps, our model choices, and our trade-offs.
  • Occasional travel to customer sites may be required to better understand workflows and gather product feedback.

Build AI-powered applications and workflows
  • Contribute to AI-powered applications and workflows for legal and professional use cases, including leveraging existing RAG pipelines, research assistants, and related AI capabilities developed by ML engineering teams.
  • Implement and iterate on LLM application capabilities such as prompt engineering, multi-step workflows, tool calling, and lightweight agent patterns in collaboration with machine learning engineering teams.
  • Contribute to scalable orchestration layers for prompting, retrieval, and tool integration across AI services.
  • Work with frameworks such as LangChain, LangGraph, LlamaIndex, MCP/A2A, OpenAI SDKs, Google ADK, and/or Anthropic/Claude APIs to prototype and productionize AI capabilities.
  • Participate in experimentation, testing, and performance optimization activities for LLM-based applications in production environments.

Contribute to AI Engineering Enablement
  • Support adoption of AI engineering practices by helping software engineering teams incrementally integrate machine learning and generative AI capabilities into existing products and workflows, in collaboration with AI/ML engineering teams.
  • Promote reusable AI/ML engineering standards, tooling, and best practices that reduce friction for teams adopting AI and machine learning technologies, while aligning with recommendations from data science and AI platform teams.
  • Help software engineers expand their capabilities in ML-oriented development for applicable use cases without requiring deep data science specialization.
  • Support teams in adopting AI-assisted development workflows through prototyping, architecture collaboration, and hands-on engineering support.
  • Contribute to engineering for LLM applications, AI workflows, and AI-enabled product development.
  • Assist in building evaluation, monitoring, and observability tooling to improve AI application quality, reliability, and developer visibility.
  • Collaborate with Product, Engineering, Data Science, UX, Security, and Legal teams to support the adoption of AI and machine learning capabilities across products and platforms.
  • Create technical documentation, sample applications, tutorials, and implementation guides to help engineers transition from traditional software development to AI-powered application development.
  • Partner with engineering teams to introduce modern AI engineering practices, reusable tooling, and machine learning workflows into existing software development processes.

Bring others with you
  • Partner closely with data scientists, machine learning engineers, designers, product managers, legal SMEs, and platform engineering teams. Effective AI product development depends on strong cross-functional collaboration and respect for each discipline's expertise.
  • Collaborate with and support engineering teams in adopting modern AI engineering practices, agent workflows, and evaluation approaches.
  • Communicate clearly with people who aren't engineers - especially lawyers - and adapt your language to the audience without dumbing things down.
  • Contribute feedback and implementation learnings to shared AI platform capabilities, tooling, and developer workflows.
  • Contribute constructively to technical discussions, collaborate effectively across teams, and remain open to feedback and evolving implementation approaches.

Required qualifications
  • 6+ years of experience as a Software Engineer, AI Engineer, Platform Engineer, or related technical role.
  • Strong production experience building LLM-powered applications and deployment at scale.
  • Strong programming skills in Python and experience building scalable production services and APIs.
  • Experience designing and implementing AI application architectures in cloud-native environments.
  • Hands-on experience with modern AI engineering frameworks and tooling such as LangChain, LangGraph, LlamaIndex, OpenAI APIs, Anthropic APIs, MCP, or equivalent systems.
  • Experience building AI workflows involving retrieval, tool calling, orchestration, context management, and structured generation.
  • Familiarity with AI observability, evaluation frameworks, and production monitoring.
  • Experience deploying and operating AI systems on AWS, Azure, or GCP.
  • Comfortable working in evolving environments and collaborating across teams to deliver AI-powered features and workflows.
  • Strong communication and collaboration skills with the ability to work effectively across engineering, product, and business teams.
  • Experience contributing to production systems and collaborating on practical implementation trade-offs.

Preferred qualifications
  • Experience in legal technology, enterprise SaaS, compliance, financial services, healthcare, or other regulated industries.
  • Experience building AI copilots, AI assistants, workflow automation systems, or multi-agent platforms.
  • Familiarity with developer platforms, SDK development, API productization, or AI platform engineering.
  • Experience facilitating technical workshops, hackathons, or developer enablement initiatives.
  • Strong understanding of AI UX and conversational workflow system design.
  • Experience with AI evaluation, guardrails, policy enforcement, and responsible AI deployment.
  • Familiarity with inference optimization, LLM serving infrastructure, or AI infrastructure tooling.
  • Full-stack or frontend engineering experience for rapid prototyping and developer experience optimization.
  • Open-source contributions, technical blogging, conference speaking, or AI engineering community involvement.

About LexisNexis Legal & Professional
LexisNexis Legal & Professional is a global leader in legal information and analytics, serving customers in more than 150 countries. We are investing aggressively in generative AI, agentic systems, and AI-native workflows that help legal professionals research faster, draft with confidence, and make better decisions in complex legal environments.
Our mission is to build trustworthy enterprise-grade AI systems that combine cutting-edge innovation with the accuracy, transparency, and reliability required in the legal industry.
LexisNexis is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
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 Form or please contact 1-855-833-5120.
Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here
Please read our Candidate Privacy Policy.
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.
USA Job Seekers:
EEO Know Your Rights.

Apply