Casepoint

Product Manager

• Define and maintain the AI product roadmap across Casepoint's full product portfolio, prioritizing AI agents, LLM-powered workflows, and shared AI capabilities in a sequence that reflects customer value and business goals.
• Use AI-assisted development tools, LLMs, and vibe coding techniques to prototype solutions and produce working demonstrations for customers and internal stakeholders before committing to full engineering efforts.
• Lead AI feature delivery from discovery through launch by establishing evaluation standards and acceptance criteria that Engineering and QA can build to reliably in legal and compliance contexts where accuracy and auditability are required.
• Engage with customers directly to validate AI concepts, surface expectations around accuracy and explainability, and develop the kind of trust that supports adoption in enterprise environments with significant regulatory obligations.
• Work with Sales and Customer Success to articulate AI capabilities in terms that resonate with customers and prospects, supporting competitive evaluations and helping teams communicate value in clear, credible terms.
• Act as an AI product authority across the portfolio by establishing deployment standards, advising fellow product team members on AI integration, mentoring and coaching on AI product thinking and execution, and ensuring AI capabilities are built consistently and positioned coherently across Casepoint's platform.
• Define AI-specific performance metrics, including accuracy, adoption, and business impact, and use post-launch data to drive iterative improvement across all AI-powered features.

Principal Product Lead, AI

• Own the eDiscovery product roadmap across the full EDRM lifecycle, making crisp sequencing decisions and communicating tradeoffs clearly as new data emerges.
• Stay close to customers (law firms, corporate legal, and government) to map real workflows and validate direction early, before major investment.
• Move fast from idea to artifact: use AI-assisted development tools and rapid prototyping techniques (including vibe coding) to create working demos that accelerate learning, alignment, and decision-making.
• Lead lean, cross-functional product squads (Engineering, Design, QA) to ship high-quality releases with momentum, with clear outcomes, measurable success criteria, and strong day-to-day execution.
• Partner tightly with Sales and Customer Success to sharpen positioning, support critical pre-sales moments, unblock escalations, and turn market feedback into practical product actions.
• Define success metrics, instrument learning, and run the post-launch loop, measure impact, diagnose gaps, and refine the product based on evidence.
• Evaluate build, buy, and partner options across the legal tech ecosystem, making pragmatic recommendations and taking bold bets when they materially improve customer outcomes and durable differentiation.

Principal Product Lead, AI

Principal Product Lead, eDiscovery