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Legal Knowledge Engineer Jobs in Georgia (NOW HIRING)

AI Engineer

Atlanta, GA · On-site

$120K - $140K/yr

Python technology + Additional backend knowledge * Hands on GCP experience (Vertex AI preferred ... Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing. #LI-KR3 ...

Senior Cloud Engineer

Atlanta, GA · On-site

$53.50 - $71.75/hr

We are motivated by a collective desire to drive the legal industry to the forefront of innovation ... Bring existing industry knowledge and best practices to implement and improve the DevOps posture at ...

Senior Cloud Engineer

Atlanta, GA · On-site

$53.50 - $71.75/hr

We are motivated by a collective desire to drive the legal industry to the forefront of innovation ... Bring existing industry knowledge and best practices to implement and improve the DevOps posture at ...

Leading organizations in financial services, insurance, government, healthcare, and legal rely on ... Working knowledge of SaaS architecture, APIs and integrations, cloud platforms, and enterprise ...

... legal requirements. * Client Relationship Management: Build and maintain strong client ... In depth knowledge of State and Local government regulations affecting civil design and permitting ...

... legal requirements. * Client Relationship Management: Build and maintain strong client ... In depth knowledge of State and Local government regulations affecting civil design and permitting ...

... legal requirements. * Client Relationship Management: Build and maintain strong client ... In depth knowledge of State and Local government regulations affecting civil design and permitting ...

... legal requirements. * Client Relationship Management: Build and maintain strong client ... In depth knowledge of State and Local government regulations affecting civil design and permitting ...

... have legal authorization to work in the US. We do NOT sponsor any visas. - 4 year degree in ... knowledge and/or experience with Operating Systems (Linux, FreeBSD, Windows, Mac) - Strong ...

Showing results 21-40

Legal Knowledge Engineer information

See Georgia salary details

$17.7K

$46.8K

$76K

How much do legal knowledge engineer jobs pay per year?

As of Sep 1, 2026, the average yearly pay for legal knowledge engineer in Georgia is $46,795.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,800.00 and $52,800.00 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 Georgia?

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

Infographic showing various Legal Knowledge Engineer job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, 1% Temporary, and 3% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $46,795 per year, or $22.5 per hour.

AI Engineer - Center of Excellence

Aderant

Atlanta, GA • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Aderant is a global industry leading software company providing comprehensive business management solutions for law firms and other professional services organizations with a mission to help them run a better business. We are motivated by a collective desire to drive the legal industry to the forefront of innovation. With over 2,500 clients around the world, including 95 of the top AmLaw 100 firms, we are changing the outside perception of the legal sphere; where there was once resistance to modernization, we are creating a culture that embraces new ideas and technology.

At Aderant, the "A" is more than just a letter. It is a representation of how we fulfill our foundational purpose, serving our clients. It embodies our core values and reminds us that to achieve success, every day must start with the "A". We bring the "A" to life by fostering a culture of innovation, collaboration, and personal growth. We encourage our diverse teams to bring their whole selves to work - ideas, experience, and passion - to drive our mission forward.

Our people are our strength.

Role DescriptionThe AI Engineer will design, develop, and deploy AI-powered solutions as part of the AI Center of Excellence. This role is highly technical, with responsibility for turning business requirements into scalable prototypes and production-ready AI systems. The AI Engineer will work closely with the AI Lead and other engineers to accelerate adoption of AI technologies across the enterprise.Responsibilities
  • Build, train, evaluate, and deploy machine learning and generative AI models.
  • Design and implement scalable pipelines for data preparation, model training, and inference.
  • Develop APIs, services, and integrations that embed AI capabilities into business applications.
  • Experiment with state-of-the-art AI frameworks and tools (LangChain, Hugging Face, OpenAI, etc.) to deliver innovative solutions.
  • Collaborate with product and engineering teams to identify opportunities and integrate AI features.
  • Monitor model performance and continuously improve systems through retraining, fine-tuning, and optimization.
  • Contribute to documentation, knowledge sharing, and technical standards for AI adoption.
Qualifications
  • 1-3 years of experience in AI/ML engineering, data science, or related fields.
  • Strong programming skills in Python (experience with TensorFlow, PyTorch, or similar frameworks).
  • Hands-on experience with LLMs, NLP, or other modern AI technologies.
  • Knowledge of cloud-based AI/ML services (AWS Sagemaker, Azure ML, Vertex AI).
  • Solid understanding of data engineering concepts, including ETL pipelines and data APIs.
  • Ability to work in agile teams, rapidly prototype, and iterate solutions.
  • Bachelor's or Master's in Computer Science, Data Science, or related discipline.