Drive innovation in Document Understanding at Thomson Reuters as a Senior Applied Scientist. Your work will directly support renowned products like Westlaw and PracticalLaw.This role involves designing and deploying cutting-edge document understanding systems, focusing on semantic chunking, information extraction, and knowledge graph construction. You will collaborate with engineering and product teams to deliver scalable solutions that enhance legal content processing. Candidates should possess experience in production systems and a background in LLM methodologies.Key Responsibilities:
Design and deploy semantic chunking models for legal text
Build systems for classifying and enriching documents
Develop pipelines for knowledge graph extraction




Create systems for synthetic data generation solutions
Implement evaluation frameworks for system performanceRequirements:
PhD or Master’s in Computer Science or related fields
5+ years in industry-focused document understanding
Track record of publications in leading AI conferences
Expert in Python and Deep Learning frameworks
Experienced in document analysis and extraction methodsChannel your skills to advance legal AI and transform Document Understanding at Thomson Reuters.#J-18808-Ljbffr

📌 Senior Scientist – Legal Document Intelligence Toronto
🏢 Thomson Reuters
📍 Toronto