Apr 15, 2026 | Inside Thomson Reuters

In the rapidly evolving landscape of artificial intelligence (AI), one word stands out as the foundation of everything we do at Thomson Reuters: trust. As we continue to lead the charge in developing fiduciary-grade AI for professionals where accuracy, accountability, and transparency are non-negotiable, our team members are at the forefront of this transformation.

We recently sat down with Andrew, a Research Scientist on our Foundational Research team, to explore what makes Thomson Reuters a unique place to build a career in AI. From our comprehensive AI sandbox environments to our investments in cutting-edge solutions like CoCounsel and the development of our vertically specialized foundation model, hear Andrew’s perspective on why now is the ideal time to join our mission of powering business-critical professions with AI they can trust.

How would you describe working at Thomson Reuters in one word?

If I had to describe working at Thomson Reuters in one word, it would be trust. In my work leading evaluations for the development of our own specialized LLM Thomson, I spend a lot of time thinking about trust in high-stakes professional domains. Trust is also central to the way our team works. It’s an environment where there’s ample room to take ownership and drive new ideas. That internal culture was clear to me during my internship, and it played a big role in my decision to join Thomson Reuters full-time.

What made you decide to stay with Thomson Reuters after your internship?

Throughout my internship, trust and opportunity were constant themes. At one point, I wanted to significantly expand the scope of a project I was working on, and my manager set up a meeting for me to present the plan to our Chief Technology Officer for approval, which we got. That experience reinforced for me that this is a place where taking the initiative to push for ambitious goals is encouraged and supported. I expect that project to yield important findings for how we think about and use AI in professional work, both internally and in what we publish externally.

What is the most important part of building AI for professionals in highly regulated industries?

I think one of the most important things about building AI for professionals is getting the details right. Much of my time is spent working directly with attorneys, journalists, and accountants to design evaluations closely tied to real problems in their work. We’re constantly thinking about key priorities like accuracy and reliability, and we also try to get into the details about what would really make an AI system useful for the fiduciary professionals we serve.

What is most exciting about your role at Thomson Reuters?

What excites me most about my role at Thomson Reuters is the chance to work with the latest developments in machine learning as they emerge and use them to address real problems during our model development. Trust is a fundamental challenge with LLMs, because you can’t always predict exactly what a model will return from a given query. As a team, we’ve been doing a lot of foundational research on making AI systems more trustworthy, and we’ve seen strong results, especially in integrating trusted information from established sources like Westlaw.

Why is now the right time to join Thomson Reuters?

If you’re considering joining the team, don’t wait. We’re at an exciting moment with the development of our own purpose-built LLM, but there are still so many exciting problems to solve. Our team is growing fast to keep up with all the ideas and projects we want to explore. It’s a rare opportunity to shape the way AI transforms high-stakes work.

Ready to be part of a team that’s not just riding the AI wave, but reshaping the future of professional work? We’re actively hiring across TR Labs and our research and technology teams.

Explore your next career move with us. Visit tr.com/careers to discover our 550+ open roles and learn how you can help us inform the way forward in an AI-enabled future.