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Thomson Reuters

Legal, financial data, and media services

Senior Legal Engineer - CoCounsel FDE

AI Application EngineeringConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • A JD, formal legal training, or equivalent depth of experience in a legal-practice environment is required.
  • Fluency in legal terminology and experience working directly with or alongside legal teams are required.
  • At least five years of professional software engineering experience are required.
  • Strong proficiency in Python and experience building production-grade software are required.
  • Experience designing and delivering distributed systems, microservices, APIs, and cloud-native applications is required.
  • Strong knowledge of AI and large language model evaluation methodologies is required.
  • Advanced prompt-engineering skills, including designing, testing, iterating, and optimizing prompts for legal-domain use cases, are required.
  • Experience evaluating AI-generated outputs for legal accuracy, relevance, reliability, and safety is required.
  • Excellent written and verbal communication skills are required to engage credibly with lawyers and engineers.
  • The candidate must be comfortable working independently, navigating ambiguity, and presenting in client workshops or knowledge-sharing sessions.
  • The candidate must be committed to secure engineering, ethical AI, privacy, and confidentiality.

Responsibilities

  • Design, develop, test, and deploy end-to-end software solutions for complex legal workflows and AI-enabled products.
  • Partner directly with legal customers to understand their needs, workflows, and challenges, and translate requirements into scalable technical solutions.
  • Architect and build modern cloud-native systems using distributed services, microservices, APIs, containerization, and orchestration technologies.
  • Develop production-grade Python software using engineering practices that support security, testing, reliability, and maintainability.
  • Evaluate AI and large language model solutions for legal use cases, assessing outputs for legal accuracy, relevance, reliability, and usability.
  • Design, iterate, and optimize advanced prompting strategies for specialized legal-domain tasks.
  • Apply DevOps and Infrastructure as Code practices to support secure, reliable, and automated deployments.
  • Manage technical debt while balancing immediate delivery needs with long-term scalability and system health.
  • Mentor junior engineers through code reviews, technical guidance, coaching, and knowledge sharing.
  • Collaborate with engineering, product, legal, and design partners to prioritize work, manage delivery commitments, and continuously improve the software development lifecycle.
  • Travel to customer sites as required.

Desired Qualifications

  • Python scripting experience is preferred.
  • Experience with legal technology platforms, legal SaaS products, or AI-enabled legal workflows is preferred.
  • Experience building or evaluating AI tools for specific legal practice areas, including transactional work, litigation, compliance, or intake, is preferred.
  • Experience with Thomson Reuters legal products or comparable legal AI platforms is preferred.

About the Company

Thomson Reuters

Legal, financial data, and media services

Thomson Reuters provides intelligent information and professional services for law, tax, finance, and media. It serves law firms, corporations, government agencies, and financial institutions with platforms like legal research (Westlaw), tax software (UltraTax CS), financial market data, and news services. These products are accessed through subscription-based platforms, ensuring ongoing updates and a steady revenue stream. The company also monetizes through advertising on media platforms and data analytics sales. It distinguishes itself by offering a broad, integrated suite of industry-specific tools combined with AI, cognitive computing, and machine learning to improve accuracy, efficiency, and predictive analytics in research and data insights. Its goal is to be a trusted partner that helps professionals make informed decisions by delivering reliable information and decision-ready tools while pursuing responsible, values-driven initiatives.

Company size
10,001+
Company stage
IPO
Headquarters
Toronto, Canada
Founded
1851

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