Legal AI Product Specialist - Remote

Overview

As the most trusted global leader in data-first contract lifecycle management (CLM) software, Agiloft helps organizations manage the end-to-end process of proposing, negotiating, signing, and leveraging contracts using our flexible Data-first Agreement Platform (DAP). With contract data as the foundation, customers quickly and collaboratively reach agreement and leverage contract visibility to thrive with competitive advantage.

In Short

• Partner closely with product managers, designers, and engineers to evaluate and improve the legal accuracy, relevance, and quality of Agiloft's contract review and analytics features
• Test AI-generated outputs against real-world legal standards, identifying gaps, failure modes, and opportunities for improvement
• Develop and refine prompts, evaluation frameworks, and quality benchmarks that help the team measure and raise the bar on legal AI performance
• Translate legal domain knowledge into clear, actionable requirements that non-lawyer teammates can understand and act on
• Serve as an internal subject-matter expert on contract law, CLM workflows, and how legal and procurement teams actually work
• Design and lead customer-facing training initiatives — webinars, guides, workshops — that help users adopt best practices and unlock the full value of the platform
• Stay current on developments in AI-assisted legal work and bring outside perspective and competitive insight back to the team
• Other duties as assigned

Requirements

• JD or equivalent legal qualification, with 5+ years of experience negotiating commercial contracts for an in-house legal team (or similar)
• Genuine enthusiasm for technology and a desire to work at the frontier of AI-powered legal tools
• Strong analytical instincts and the ability to evaluate nuanced legal outputs with a critical eye
• Excellent communication skills — you're equally comfortable explaining a legal concept to an engineer and explaining a product capability to a customer
• Comfort with ambiguity and a knack for defining what "success" looks like even when the criteria aren't fully spelled out
• A collaborative, low-ego working style — this role requires building trust across disciplines and with customers
• Willingness to do the detailed, hands-on work that makes AI products better: carefully reviewing outputs, documenting patterns, writing test cases, iterating on prompts

Benefits

• Support for healthy work/life balance, including floating holidays and a quarterly wellness day
• Multiple Employee Resource Groups (ERGs) to foster a vibrant workplace