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Legal Knowledge Engineer Jobs in Oklahoma (NOW HIRING)

Posting Type Hybrid/Remote Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... Strong foundational knowledge of distributed systems, scalability, and backend service design ...

Dotnet Engineer

Tulsa, OK · On-site

$120K - $125K/yr

Must Have Technical/Functional Skills Proficiency in C# programming language - Strong knowledge of ... Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing. #LI-DNI

CITY ENGINEER

Ardmore, OK · On-site

$110K - $115K/yr

Acquire necessary right-of-ways and easements, including writing legal descriptions. * Prepare ... Knowledge of engineering principals, practices, and methods; design techniques, tools, and ...

CITY ENGINEER

Ardmore, OK · On-site

$110K - $115K/yr

Acquire necessary right-of-ways and easements, including writing legal descriptions. Prepare ... Knowledge of engineering principals, practices, and methods; design techniques, tools, and ...

Conducting all business activities in accordance with company health, safety, environmental, legal ... Knowledge of engineering analysis, product development processes, and mechanical design principles.

Conducting all business activities in accordance with company health, safety, environmental, legal ... Knowledge of engineering analysis, product development processes, and mechanical design principles.

Knowledge, Skills and Abilities * Skills in: relational database design including table structures ... legal documents. * Ability to: develop information, conduct meetings and present information to ...

Knowledge, Skills and Abilities * Skills in: relational database design including table structures ... legal documents. * Ability to: develop information, conduct meetings and present information to ...

Provide technical inputs to the legal and homologation teams * Support vehicle activities, data ... Knowledge and hands‑on experience of braking and/or steering components and features * Experience ...

Provide technical inputs to the legal and homologation teams * Support vehicle activities, data ... Knowledge and hands-on experience of braking and / or steering components and features * Experience ...

The Stress Engineer will apply knowledge of engineering principles, theories, concepts, industry ... legal, hospital, accident, pet wellness, and 401k with matching * Paid Holidays and Paid Time Off

Solid knowledge of material properties, manufacturing methods, and their impact on aircraft ... legal, hospital, accident, pet wellness, and 401k with matching * Paid Holidays and Paid Time Off

Solid knowledge of material properties, manufacturing methods, and their impact on aircraft ... legal, hospital, accident, pet wellness, and 401k with matching * Paid Holidays and Paid Time Off

Solid knowledge of material properties, manufacturing methods, and their impact on aircraft ... legal, hospital, accident, pet wellness, and 401k with matching * Paid Holidays and Paid Time Off

The Stress Engineer will apply knowledge of engineering principles, theories, concepts, industry ... legal, hospital, accident, pet wellness, and 401k with matching * Paid Holidays and Paid Time Off

The Stress Engineer will apply knowledge of engineering principles, theories, concepts, industry ... legal, hospital, accident, pet wellness, and 401k with matching * Paid Holidays and Paid Time Off

Solid knowledge of material properties, manufacturing methods, and their impact on aircraft ... legal, hospital, accident, pet wellness, and 401k with matching * Paid Holidays and Paid Time Off

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Showing results 1-20

Legal Knowledge Engineer information

See Oklahoma salary details

$19.4K

$51.2K

$83.1K

How much do legal knowledge engineer jobs pay per year?

As of Aug 23, 2026, the average yearly pay for legal knowledge engineer in Oklahoma is $51,170.00, according to ZipRecruiter salary data. Most workers in this role earn between $36,900.00 and $57,700.00 per year, depending on experience, location, and employer.

What is a legal knowledge engineer?

A Legal Knowledge Engineer is a professional who combines expertise in law with skills in technology and knowledge management. They design, develop, and maintain systems that organize and automate legal information, processes, or workflows. Legal Knowledge Engineers often work with legal tech tools, document automation, and artificial intelligence solutions to improve efficiency in legal services. Their role bridges the gap between legal professionals and IT teams, ensuring that technology solutions meet the specific needs of legal practice.

How does a legal knowledge engineer typically collaborate with legal and IT teams to develop effective knowledge management solutions?

Legal Knowledge Engineers play a crucial role in bridging the gap between legal professionals and IT specialists. They work closely with lawyers to understand complex legal processes and translate these into structured data or digital workflows. Regular collaboration involves gathering requirements, mapping legal processes, and testing knowledge management tools to ensure accuracy and usability. This cross-functional teamwork ensures that the solutions developed are both technically sound and legally compliant, fostering a collaborative and innovative work environment.

What are the key skills and qualifications needed to thrive as a legal knowledge engineer, and why are they important?

To thrive as a Legal Knowledge Engineer, you need a strong background in law, analytical thinking, and familiarity with knowledge management principles, often backed by a law degree or relevant legal qualifications. Proficiency with legal tech tools such as document automation platforms, AI-driven legal research systems, and contract management software is typically required. Excellent communication, attention to detail, and collaborative skills help bridge technical and legal teams effectively. These capabilities ensure efficient development and implementation of legal technology solutions that enhance accuracy and productivity within legal organizations.

What is the difference between Legal Knowledge Engineer vs Legal Data Analyst?

AspectLegal Knowledge EngineerLegal Data Analyst
Required credentialsLegal degree, knowledge engineering skillsLegal degree, data analysis skills
Work environmentAI development teams, legal tech companiesLaw firms, legal departments, data teams
Industry usageLegal tech, AI, knowledge managementLegal research, data reporting, insights

The Legal Knowledge Engineer focuses on developing and maintaining legal knowledge bases and AI systems, requiring expertise in legal concepts and knowledge engineering. In contrast, the Legal Data Analyst primarily interprets legal data to generate insights, emphasizing data analysis skills. Both roles are vital in legal tech but serve different functions within legal organizations.

What are popular job titles related to Legal Knowledge Engineer jobs in Oklahoma?

For Legal Knowledge Engineer jobs in Oklahoma, the most frequently searched job titles are:

Infographic showing various Legal Knowledge Engineer job openings in Oklahoma as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, 1% Temporary, and 2% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $51,170 per year, or $24.6 per hour.

Software Engineer

Relativity

Oklahoma City, OK • On-site

Other

Medical, Retirement

Re-posted 3 days ago


Job description

Posting Type

Hybrid/Remote

Job Overview

WHO WE ARE
Relativity is a leading legal data intelligence company building technology that helps users organize data, discover the truth, and act on it with confidence. Our AI-powered, cloud platform, RelativityOne, transforms massive volumes of complex information into actionable insights for litigation, investigations, regulatory inquiries, data breach responses, and other high-stakes legal work where accuracy and trust are crucial.
The world's largest law firms, corporations, and government agencies rely on Relativity's legal AI software to securely surface and manage the most relevant and impactful information in their matters. Beyond our commercial impact, we're deeply committed to expanding access to technology for academic institutions through Relativity Academic and supporting pro bono legal work through Justice for Change.
WHAT WE DO
At Relativity, engineers don't just write code. They build the systems that power AI-driven workflows at massive scale, enabling customers to uncover insights and act on complex data with confidence.
aiR Services Team
The aiR Services team builds the shared backend platform that powers Relativity's generative AI products. These systems enable secure and scalable access to foundation models across the aiR Suite while handling challenges such as limited model capacity, global data privacy requirements, and fair usage across products and customers. The team works on high-throughput, distributed systems that route AI traffic across regions and providers, protect downstream services from reliability risks, and optimize cost and performance at scale.
If you're excited about building platforms that power an entire product suite, working with generative AI systems in production, and solving distributed systems challenges at global scale, this is a high-impact team to join.

Job Description and Requirements

ABOUT THE ROLE

As a Software Engineer, you will build and operate backend services that power Relativity's generative AI platform, aiR. You will work at the intersection of distributed systems, cloud infrastructure, and applied AI, helping to deliver reliable, scalable systems that sit on the critical path of AI-powered workflows.

This role reports to the Manager of Software Engineering and provides the opportunity to work on multi-region, multi-cloud systems that handle large-scale AI traffic and complex orchestration challenges.

WHAT YOU'LL DO

  • Design and build performant, scalable, and secure backend services with a strong focus on quality, not just meeting requirements
  • Collaborate with a software development team to deliver high-quality, reliable systems that operate at massive scale
  • Develop and maintain systems that support high-throughput AI workloads, including asynchronous job orchestration and distributed processing
  • Write comprehensive unit and integration tests supported by static analysis and thoughtful test strategy development
  • Contribute to improving engineering processes by recommending enhancements to tools, workflows, and practices
  • Participate in pair programming to improve software quality and share design and implementation knowledge
  • Contribute to building systems that route and manage AI traffic efficiently while maintaining reliability and fairness across workloads

WHAT WE'RE LOOKING FOR

Required

  • Bachelor's degree in Computer Science or a related field, or equivalent practical experience
  • Experience building backend services using languages such as C#, Python, or similar
  • Understanding of software engineering disciplines and the ability to work across multiple layers of the application stack
  • Strong foundational knowledge of distributed systems, scalability, and backend service design

Preferred

  • Understanding of DevOps principles and experience with tools such as GitHub Actions
  • Experience working with large language model (LLM) APIs or generative AI systems
  • Experience designing and building scalable systems in Azure or other cloud platforms
  • Experience with Kubernetes, serverless technologies, and cloud-native architectures
  • Familiarity with domain-driven design and event-driven architecture
  • Experience with AI-driven development practices or AI-assisted coding tools
  • Awareness of emerging technology trends and their practical application in engineering

WHY WE COULD BE A GREAT FIT

Impactful AI Platform

  • Build foundational systems that power Relativity's generative AI capabilities and enable products across the aiR Suite.

Distributed Systems at Scale

  • Work on high-throughput, multi-region services that handle large volumes of AI traffic reliably and efficiently.

Cutting-Edge Technology

  • Gain hands-on experience with generative AI systems, cloud-native infrastructure, and modern distributed architectures.

Growth Opportunity

  • Develop deep expertise in backend systems, cloud platforms, and AI-driven services while working on highly visible, impactful projects.

Collaborative Culture

  • Work with a team that values strong engineering fundamentals, shared ownership, and continuous learning.

Compensation and Benefits

  • Competitive salary, health and retirement programs, wellness resources, discretionary time off (DTO), parental leave for primary and secondary caregivers, company-wide breaks, home office stipend, and an equity program.

Relativity is committed to competitive, fair, and equitable compensation practices.

This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives.

The expected salary range for this role is between following values:

$79,000 and $119,000

The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position.

Required Skills:

Automation, Documentations, Engineering Design, Problem Solving, Process Improvements, Project Management, Quality Assurance (QA), Research and Development, System Integration, Troubleshooting