Thomson Reuters

In 2019, Thomson Reuters had an internal discovery group called Project Camden.  I was a Sr. UX Designer in that group, specialising in Alerting, Messaging, Filtering and Faceted Search Results.  Our research, design, and development would eventually be adopted into the Thomson Reuters HighQ product. This product speeds contract review and analysis with machine learning technology to answer the specific questions legal professionals want to address – in an easy-to-read report.


The UX team structure was a hub and spoke style, where designers were assigned to specific product teams. I was assigned to the Self Teach Workbench (STWB), the wing the dealt with training the artificial intelligence of Camden Project which included Reviewing and Comparing Documents, Filtering, Alerting, and Faceted Search Results for the admin users. Each group had an SME (Subject Matter Expert) which acted as a proxy end user.  I worked closely with each SME to understand their perspective of the business and to perform Task Analysis.  The challenges in my product teams were to define innovative and optimized methods for the following: reviewing and comparing documents (i.e. – Property leases ), using faceted search results to quickly find matching content (i.e. – a defined term), and managing contacts within the TR messaging platform.


Even though each designer was autonomous within their respective product teams, we had dedicated UX team scrum calls and review sessions.  At the beginning of each sprint, I would enter my tasks in JIRA with an estimated completion time.  We reviewed the progress during the morning scrum calls.  In addition to the calls, the team would schedule review sessions where we could share our projects and provide feedback for others.


After each JIRA task was completed and reviewed by the team, I worked on the UI elements for styling. Once implemented, the UX team would circle back and review the functionality and accessibility. User testing was performed at this stage, with screen and audio recording as documentation. After user testing, I took the feedback to refine the final designs.

The output of Project Camden was modular.  We were designing re-usable elements that could come together in multiple arrangements. The approach was successful, as it created a solid foundation for being able to incorporate our work into HighQ. Currently, I am leading the project.

Recognition Award

I received an Inspire Award from all the senior leadership team at Thomson Reuters for my efforts for the delivery of an industry leading AI enabled tool into the hands of the customers.

Thank you Lehar from all the senior leadership team.