Legal AI Engineer - Konexo US

Eversheds Sutherland • Atlanta, GA

4d • $108,000 - $208,000 • Hybrid

About The Position

We have an exciting opportunity for a Legal Engineer – AI and Automation at Eversheds Sutherland (US) LLP. We are searching for someone who wants to be a valued contributor and member of a talented and dynamic team of lawyers, paralegals and business professionals. About Konexo Konexo is a leading alternative legal service provider (ALSP) that leverages technology and innovation to deliver efficient and effective legal solutions. As part of our commitment to excellence, we are seeking a Legal Engineer to join our team and drive AI and automation initiatives across internal and vendor tools. The Legal Engineer – AI and Automation will lead the design, implementation, and governance of AI-based and automated solutions that transform legal workflows. This is a strategic, client-facing, innovation leadership position with deep technical capabilities. The person in this role will own Konexo's transition from generative AI pilots to operational AI infrastructure: building agentic systems, establishing AI governance frameworks, and driving measurable ROI for clients and internal teams alike. This role requires a rare combination of legal domain expertise, hands-on technical proficiency, and the judgment to know where human oversight must remain. The Legal Engineer will collaborate across departments, clients, law firm partners, IT, Marketing, and Operations to ensure AI solutions are deployed responsibly, adopted broadly, and improved continuously.

Requirements

• Education: Bachelor's degree required.
• Experience : Minimum 5 years in the legal industry — law firm, consulting firm, ALSP, or in-house legal department — with at least 3 years of hands-on experience implementing AI or automation solutions in a legal context.
• Core Technical Skills Proficiency with agentic AI frameworks and multi-step LLM workflows (e.g., LangChain, AutoGen, CrewAI, or equivalent)
• Practical experience with RAG (Retrieval-Augmented Generation) architectures, including vector databases and document indexing
• Prompt engineering expertise: system prompt design, chain-of-thought reasoning, output formatting, and version control of prompts
• Experience with Microsoft Power Platform: Power Automate, Power Apps, Copilot Studio, and AI Builder
• Familiarity with APIs, integration patterns (REST, webhooks), and workflow tools (Zapier, Make, n8n, or equivalent)
• Working knowledge of AI/ML concepts: model selection, fine-tuning, embeddings, and token economics
• Comfort with scripting languages (Python preferred) for automation, data processing, and API interaction
• Understanding of data privacy requirements (GDPR, CCPA) as they apply to AI systems handling legal data
• Communication & Interpersonal Skills Exceptional written and verbal communication; able to translate technical complexity for lawyers and legal complexity for engineers
• Demonstrated ability to build trust with skeptical stakeholders and drive adoption of unfamiliar technology
• Professional Attributes Comfortable operating in ambiguity and building structure where none exists
• Proactive, self-directed, and confident managing multiple concurrent client relationships
• Strong judgment about when AI outputs require human review — and the credibility to enforce that standard
• Committed to continuous learning in a field that is evolving faster than any training program can capture
• Coachable, collaborative, and energized by working at the intersection of law, technology, and business

Nice To Haves

• A Juris Doctor (JD) or advanced technical degree (Computer Science, Data Science, or related) is a meaningful differentiator but not required.
• Emerging & Forward-Looking Skills (Strong Differentiators) Experience designing or auditing AI governance frameworks, including human-in-the-loop controls and hallucination mitigation
• Familiarity with the EU AI Act, Colorado AI Act, or similar AI regulatory regimes
• Exposure to contract lifecycle management (CLM) platforms and legal-specific AI tools
• Understanding of agent orchestration patterns: orchestrator/subagent models, tool-use, memory management
• Knowledge of Model Context Protocol (MCP) or equivalent standards for enterprise AI integration
• Experience facilitating workshops, demos, or training sessions for diverse audiences

Responsibilities

• Agentic AI Design & Deployment Design and deploy multi-step agentic AI workflows that autonomously plan, execute, and review complex legal tasks, from contract review and intake routing to due diligence and compliance monitoring. Move Konexo's AI capabilities beyond single-prompt tools into governed, repeatable, auditable systems.
• AI Governance & Risk Management Build and maintain Konexo's AI governance framework: human-review checkpoints, output verification protocols, hallucination detection and mitigation strategies, and audit trails that protect clients from liability. Treat responsible AI not as a policy document, but as an operational control layer embedded in every deployment.
• Prompt Engineering & LLM Orchestration Develop, refine, and version-control advanced prompts and LLM call chains — including retrieval-augmented generation (RAG) architectures — in collaboration with cross-functional teams. Understand how to tune model behavior for legal precision, not just general fluency.
• AI Regulatory & Ethics Compliance Act as liaison to our Eversheds AI and Cyber practice group to stay on top of evolving AI regulatory requirements — including the EU AI Act, state-level AI legislation (Colorado, Illinois, etc.), and emerging U.S. federal guidance — to ensure all deployments remain compliant.
• Client-Specific Deployments Serve as a subject-matter expert on client engagements by deploying AI platforms with client-specific customizations. Translate client legal workflows into scalable AI-enabled processes that demonstrably reduce cycle times, cost, and error rates.
• Technology Evaluation & Vendor Management Continuously assess the legal AI vendor landscape to help us make informed build-vs.-buy decisions. Evaluate tools not just on features but on governance capability, hallucination rates, integration flexibility, and ROI potential.
• Process Improvement & Measurement Identify high-value automation opportunities, prioritize by impact, implement solutions, and measure outcomes: cycle time reduction, accuracy rates, escalation frequency, and client satisfaction. Build the data discipline to prove that Konexo's AI investments deliver results.
• Stakeholder Communication & Change Management Communicate clearly and confidently with diverse audiences, lawyers, engineers, executives, and clients, to build alignment and trust in AI initiatives. Serve as an internal evangelist for responsible AI adoption, including managing concerns about AI reliability and job impact.
• Training & Enablement Deliver product demos, training sessions, and practical playbooks to clients and internal teams. Equip legal professionals to use AI tools effectively and safely, distinguishing where AI excels from where human judgment remains essential.

Benefits

• The firm’s compensation strategy includes not just a base salary but also comprehensive benefits such as healthcare, paid time off, discretionary merit bonuses, life and disability insurance, retirement plans and tailored learning opportunities.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 251-500 employees