Legal AI Engineer: Build AI-Powered Legal Workflows

Dentons US LLP

Chicago (IL)

On-site

USD 120,000 - 210,000

Full time

27 hours ago
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Job summary

Dentons US LLP is seeking a Legal AI Engineer to translate legal expertise into scalable AI solutions. You will design AI-enabled workflows in collaboration with lawyers and knowledge teams, building prompts, schemas, and decision logic for an AI-first environment.

Responsibilities include re-engineering legal processes for AI-first execution, curating reference sets, and implementing evaluation frameworks to ensure reliability and compliance with firm policies and client confidentiality.

Qualifications

  • J.D. from an accredited law school is required.
  • Minimum two years of substantive legal practice.
  • Minimum two years in a legal engineering/AI role.
  • Experience on a law firm innovation team or legal tech company preferred.
  • Hands-on experience building AI workflows and prompts.

Responsibilities

  • Design, build, test and improve AI-enabled legal workflows and agents.
  • Re-engineer legal processes for AI-first execution with human review where needed.
  • Turn playbooks and drafting standards into prompts, schemas, and logic.
  • Curate precedents for retrieval-augmented generation and evaluation.
  • Build evaluation frameworks to measure AI output reliability.
  • Identify failure modes and implement controls and escalation steps.
  • Ensure solutions comply with Dentons policies and protect confidential information.
  • Other duties to meet the position needs.

Skills

Legal AI experience
JSON/Schema
LLMs understanding
Cross-functional communication

Education

J.D. from an accredited law school
Degree in CS/DS/Engineering or related field
Equivalent technical experience

Tools

Harvey
Microsoft Copilot
JSON Schema
YAML
Markdown

Job description

Dentons US LLP is seeking a Legal AI Engineer to translate legal expertise into scalable AI solutions. You will design AI-enabled workflows in collaboration with lawyers and knowledge teams, building prompts, schemas, and decision logic for an AI-first environment.

Responsibilities include re-engineering legal processes for AI-first execution, curating reference sets, and implementing evaluation frameworks to ensure reliability and compliance with firm policies and client confidentiality.

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