Legal AI Engineer

Dentons US LLP; Chicago (IL); Presencial; USD 130.000 - 180.000; Jornada completa

Descripción de la vacante

Dentons US LLP seeks a Legal AI Engineer to translate legal expertise into scalable AI solutions. Working with lawyers, practice groups, and technology teams, you will redesign workflows for an AI-enabled environment and build prompts, schemas, and decision logic.

You will apply platforms like Harvey and Microsoft Copilot, curate reference sets, and develop evaluation frameworks to ensure accurate AI outputs while upholding client confidentiality and professional obligations.

Formación

• J.D. from an accredited law school; degree in CS/Data science/engineering or related field preferred.
• Minimum two years of substantive legal practice.
• Minimum two years in a legal engineering or AI-related role.
• Experience on a law firm innovation team or legal AI company preferred.
• Hands-on experience building/refining AI workflows, prompts or agents.
• Practical experience with Harvey and Copilot, including configuring workflows.
• Proficiency with JSON, JSON Schema, YAML and Markdown.
• Working understanding of LLMs, RAG, embeddings, tool use and model evaluation.
• Clear communication with lawyers and technologists; good judgment on AI usefulness vs. human review.

Responsabilidades

• Design, build, test and improve AI-enabled legal workflows and agents on Harvey, Copilot and other platforms.
• Re-engineer legal processes for AI-first execution and define human review requirements.
• Turn playbooks/drafting standards into prompts, schemas, decision logic and workflow rules.
• Curate precedents and model documents into retrieval sets for RAG and evaluation.
• Create evaluation frameworks, such as datasets and rubrics, to assess AI output accuracy.
• Identify failure modes and implement controls, gates and escalation steps.
• Collaborate with Information Security, Risk and Knowledge Management to meet Dentons policies and confidentiality obligations.
• Other duties as required to fully meet the position needs.

Conocimientos

Prompt engineering

Workflow design

Legal tech know-how

Communication skills

Problem solving

Cross-functional collaboration

Educación

J.D. from an accredited law school; degree in CS/Data science/engineering or related field

Herramientas

Harvey

Microsoft Copilot

JSON/JSON Schema

YAML

Markdown

Embeddings

LLMs

Agent workflows

Descripción del empleo

Dentons US LLP is currently recruiting for a Legal AI Engineer to turn legal expertise into reliable, scalable AI solutions. Working closely with lawyers, practice groups and knowledge, innovation, and technology teams, the Legal AI Engineer will redesign legal workflows for an AI-enabled environment. This position will build them with prompts, schemas, playbooks, decision logic and evaluation frameworks, using platforms such as Harvey, Microsoft Copilot, and other enterprise AI platforms.

Responsibilities

• Design, build, test and improve AI-enabled legal workflows, applications and agents, including solutions on Harvey, Microsoft Copilot and other enterprise AI platforms.
• Re-engineer legal processes for AI-first execution, deciding what AI, automation and lawyers should each do and where human review is required.
• Turn playbooks, checklists, negotiation positions and drafting standards into prompts, schemas, decision trees and workflow logic.
• Curate precedents and model documents into reference sets for retrieval-augmented generation and evaluation.
• Build evaluation frameworks, such as golden datasets, rubrics and regression tests, to measure the accuracy and reliability of AI output.
• Find failure modes and hallucinations, and put controls, review gates and escalation steps in place.
• Work with Information Security, Risk and Knowledge Management to make sure solutions meet Dentons policies and professional obligations, including protection of confidential and privileged client information.
• Other duties as required to fully meet the needs of the position.

Experience & Qualifications

• J.D. from an accredited law school, required and a degree in computer science, data science, engineering or a related field, or equivalent technical experience, preferred
• Minimum two years of substantive legal practice.
• Minimum two years in a legal engineering, innovation attorney, AI engineering or similar role.
• Experience on a law firm innovation team, or at a legal AI company, alternative legal services provider or legal software company, preferred.
• Hands-on experience building and refining AI workflows, prompts or agents, not only using AI tools as an end user.
• Practical experience with legal and enterprise AI platforms such as Harvey and Microsoft Copilot, including configuring workflows, agents or prompt libraries and driving lawyer adoption.
• Skill with JSON, JSON Schema, YAML and Markdown.
• Working understanding of LLMs, RAG, embeddings, tool use, agentic workflows, structured outputs and model evaluation.
• Clear communication with both lawyers and technologists, and sound judgment about where AI helps and where human review is still needed.