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This position was posted on April 21, 2026 and is likely no longer accepting applications. We've kept it here for historical reference. Check out the similar jobs below!
Job Overview
Location
Canada - Canada - Toronto
Job Type
Full-time
Category
Product Management
Date Posted
April 21, 2026
Full Job Description
📋 Description
- • Join Axiom Talent Platform Inc. as a Claims Review Paralegal to support Fortune 500 clients by reviewing and validating legal claims with precision and compliance.
- • Day-to-day responsibilities include reviewing and validating claims for accuracy and compliance, analyzing complex legacy claims, conducting bilingual document review in French and English, performing discovery-related tasks, and executing privilege review to protect confidential information.
- • Axiom is a global leader in alternative legal services with over 25 years of innovation, serving 1,500+ legal departments worldwide using top-tier talent and AI tools to deliver efficient, technology-driven legal solutions.
- • In this role, you will deepen your expertise in claims analysis, bilingual legal review, and privilege identification while contributing to high-stakes legal matters and advancing your career in a supportive, excellence-driven environment.
Skills & Technologies
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About Axiom Talent Platform Inc.
Axiom Talent Platform provides cloud-based workforce management software that enables enterprises to source, vet, schedule, and pay highly-skilled contingent labor. Its AI-driven matching engine connects organizations with pre-qualified experts in finance, technology, and life sciences, while automated compliance, time-tracking, and invoicing reduce administrative overhead. The platform integrates with existing HR and procurement systems, offering real-time analytics on spend, performance, and workforce utilization. Designed for Fortune 500 legal, consulting, and corporate clients, Axiom streamlines the entire lifecycle of flexible talent engagement, enabling faster project ramp-up and cost-effective delivery of specialized expertise at scale.
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