Sr. Legal AI Prompter, Evaluator
- Toronto, ON, Canada
Full-time
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Job details
- Job type
- Full-time
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- English
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Original job description
Job Description
Sr. Legal AI Prompters / Evaluators are responsible for improving CoCounsel Legal by writing and refining prompts, skills, and agent configurations; experimenting with large language models (LLMs), including Thomson, our proprietary LLM; and evaluating the results. They partner closely with specialized legal subject matter experts (SMEs), software engineers, and data scientists to make sure our products deliver accurate, legally sound outputs that legal professionals can trust. As senior members of the team, they take a leading role in the hands-on development of LLM-driven solutions, design and run experiments to find out what works, and help raise the team’s capabilities. The ideal candidate is an experienced, practiced lawyer with a passion for technology and a strong understanding of emerging technologies in the legal profession, who can think critically about AI risks and opportunities and translate legal expertise into practical, high-quality AI outputs.
Key Responsibilities
- Create, test, and refine prompts, skills, and agent configurations for CoCounsel Legal to ensure accurate, legally sound, and contextually appropriate responses
- Experiment with Thomson and other LLMs on legal tasks, comparing results to inform which model best fits each use case
- Build gold-standard datasets with SMEs, coordinate evaluations, and design evaluation schemes, including rubrics, metrics, success criteria, and LLM-as-judge prompts, to test model outputs and inform launch readiness decisions
- Write and run scripts, experiments, and automated tests that ensure quality and consistency over large datasets and time periods
- Monitor production performance, analyze failure modes and identify where in the pipeline they originate (prompting, tooling, retrieval, or content), and provide strategic feedback to software engineers and data scientists
- Collaborate with software engineers, data scientists, and cross-functional teams as they integrate LLMs into multi-step systems, and evaluate the feasibility and potential impact of new product ideas
- Engage with legal professionals, industry leaders, and internal stakeholders to gather insights and validate product concepts, and stay informed about developments in legal technology and LLMs
- Mentor colleagues and draft guidance materials, reusable prompts, and best-practice documentation on getting the most out of LLMs
- Juris Doctor degree or equivalent law degree and bar admission in a US or Canadian jurisdiction
- 5-7 years of combined experience, including at least 2-3 years of legal practice, with the remaining years in related work such as collaborating with software engineers, building or testing products, applying generative AI, or writing code
- Proven expertise applying generative AI, including prompt engineering and evaluating model outputs, and an understanding of how LLMs work and where they fail
- Proficiency working in a Python code base and using Git, including writing, modifying, and debugging Python scripts, calling LLMs through code (e.g., OpenAI, Anthropic, Gemini), and using coding agents to build and iterate on that work
- Excellent communication and collaboration skills, with the ability to work effectively with legal SMEs and across functions
- Have substantial experience working with and testing legal products and technology, including online legal research and practice tools
- Have hands-on experience designing evaluations, such as rubrics, human grading frameworks, or LLM-as-judge prompts
- Are familiar with agentic and RAG systems, including how retrieval, tool use, and prompting each affect output quality
- Are a self-starter who is comfortable with ambiguity and learns new tools and models quickly
What’s in it For You?
- Hybrid Work Model: We’ve adopted a flexible hybrid working environment for our office-based roles while delivering a seamless experience that is digitally and physically connected.
- Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance.
- Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.
- Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.
- Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.
- Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.
- Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.
In the United States, Thomson Reuters offers a comprehensive benefits package to our employees. Our benefit package includes market competitive health, dental, vision, disability, and life insurance programs, as well as a competitive 401k plan with company match. In addition, Thomson Reuters offers market leading work life benefits with competitive vacation, sick and safe paid time off, paid holidays (including two company mental health days off), parental leave, sabbatical leave. These benefits meet or exceeds the requirements of paid time off in accordance with any applicable state or municipal laws. Finally, Thomson Reuters offers the following additional benefits: optional hospital, accident and sickness insurance paid 100% by the employee; optional life and AD&D insurance paid 100% by the employee; Flexible Spending and Health Savings Accounts; fitness reimbursement; access to Employee Assistance Program; Group Legal Identity Theft Protection benefit paid 100% by employee; access to 529 Plan; commuter benefits; Adoption & Surrogacy Assistance; Tuition Reimbursement; and access to Employee Stock Purchase Plan.
Thomson Reuters complies with local laws that require upfront disclosure of the expected pay range for a position. The base compensation range varies across locations. Eligible office location(s) for this role include one or more of the following: New York City, San Francisco, Los Angeles, and/or Irvine, CA; McLean, VA; Washington, DC. The base compensation range for the role in any of those locations is $137,900 USD - $256,100 USD. For any eligible US locations, unless otherwise noted, the base compensation range for this role is $119,700 USD - $222,300 USD. For Ontario, Canada, the base compensation range for this role is $126,000 CAD - $176,000 CAD. Base pay is positioned within the range based on several factors including an individual’s knowledge, skills and experience with consideration given to internal equity. Base pay is one part of a comprehensive Total Reward program which also includes flexible and supportive benefits and other wellbeing programs. This role may also be eligible for an Annual Bonus based on a combination of enterprise and individual performance.
About Us
Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news.
We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.
As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace.
Thomson Reuters makes reasonable accommodations for applicants with disabilities, including veterans with disabilities, and for sincerely held religious beliefs in accordance with applicable law. If you reside in the United States and require an accommodation in the recruiting process, you may contact our Human Resources Department at HR.Leave-Expert@thomsonreuters.com. Disability accommodations in the recruiting process may include things like a sign language interpreter, making interview rooms accessible, providing assistive technology, or other relevant accommodations. Please note this email is not intended for general recruitment questions and we will promptly respond to inquiries regarding accommodations. More information on requesting an accommodation here.
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More information about Thomson Reuters can be found on thomsonreuters.com
More about this job
Responsibilities
Develop and refine prompts, skills, and agent configurations for CoCounsel Legal, and experiment with LLMs to evaluate accuracy and suitability for legal tasks. Build evaluation datasets and frameworks, monitor production quality, collaborate with technical and legal teams, and mentor colleagues through guidance and best-practice documentation.
Requirements
Requires a Juris Doctor or equivalent law degree, bar admission in the United States or Canada, and 5–7 years of combined experience, including at least 2–3 years in legal practice. Candidates must have hands-on generative AI and prompt-engineering experience, understand LLM capabilities and limitations, and be proficient with Python codebases and Git.
Skills
- Prompt Engineering
- Generative AI
- Large Language Models
- Python
- Git
- Model Evaluation
- Legal Expertise
- Experiment Design
- Dataset Development
- Automated Testing
- Failure Analysis
- Agentic Systems
- Retrieval-Augmented Generation
- Cross-Functional Collaboration
- Technical Communication
- Mentoring
Benefits
- Flexible Vacation
- Mental Health Days
- Health Insurance
- Dental Insurance
- Vision Insurance
- Disability Insurance
- Life Insurance
- Retirement Savings Plan
- Tuition Reimbursement
- Employee Incentive Programs
- Headspace App Access
- Work-Life Benefits
- Parental Leave
- Sabbatical Leave
- Fitness Reimbursement
- Employee Assistance Program
- Flexible Spending Account
- Health Savings Account
- Employee Stock Purchase Plan
- Adoption and Surrogacy Assistance
- Commuter Benefits
- Paid Volunteer Days
Visa sponsorship
Not detected in the job text
Categories
- Legal
- Technology
- Software
- Data & Analytics
Keywords
- CoCounsel Legal
- Thomson
- Large Language Models
- Generative AI
- Prompt Engineering
- Python
- Git
- OpenAI
- Anthropic
- Gemini
- Coding Agents
- Legal Technology
- Legal Research
- Agent Configurations
- Agentic Systems
- Retrieval-Augmented Generation
- Evaluation Rubrics
- Human Grading
- LLM-as-Judge
- Gold-Standard Datasets
- Automated Testing
- Model Performance Monitoring
- Failure Mode Analysis
- Software Engineering
- Data Science
- Legal Subject Matter Experts
- Experiment Design
- Prompting
- Retrieval
- Tool Use