• Deliver Custom Workflow Solutions: Complete all post-sales custom workflow requests within two weeks of submission, creating scalable, objective solutions for legal drafting and analysis that drive immediate client value. • Drive AI Adoption and Implementation: Work directly with internal and external Eve users to scope, create, and implement customized workflows that meet specific customer needs while maintaining objectivity and avoiding unauthorized practice of law. • Establish Success Metrics: Develop and implement comprehensive KPIs and metrics for product adoption and custom solutions. Create immediate baselines of success based on current usage trends and available data to define and measure law firm outcomes. • Build Scalable Systems: Develop and implement a transparent accountability system for all workflow requests, ensuring repeatable, scalable success as Eve grows. Create an internal repository of playbooks and workflows that can be deployed across customers without impropriety. • Inform Product Strategy: Provide critical feedback loops to product and GTM teams based on customer workflow needs, directly informing roadmap decisions and product development priorities. • Demonstrate Business Impact: Partner with Customer Success Managers to create world-class quarterly business review (QBR) decks featuring AI usage data, and publish routine AI value reports (EBRs) for internal stakeholders that demonstrate measurable ROI and positional value. • Maintain Quality Standards: Create and maintain scalable, internal workflows grounded in objectivity that neutralize assumption, imprecision, and legal ethics concerns, ensuring all custom solutions meet rigorous standards before deployment.

• Build AI-First Workflows • Automate multi-step processes across CRM, email, messaging platforms, and data systems • Orchestrate LLM-powered agents for research, summarization, outreach, and follow-ups • Implement Retrieval-Augmented Generation (RAG) pipelines to surface the right data at the right time • Connect APIs, webhooks, and automation tools to create a unified “system of insight” • Maintain two-way integrations between CRM and external data providers • Ensure data is enriched, clean, and continuously updated from trusted sources • Build AI memory for past interactions, key contacts, and organizational knowledge • Configure triggers that prompt timely, relevant engagement based on live data signals • Tune AI prompts and workflows for accuracy, brand tone, and business alignment • Partner with business leaders to identify high-friction workflows • Deliver MVP automations quickly, test impact, and scale successful pilots into production systems • Continuously refine orchestration logic to improve accuracy, speed, and user adoption

• Evaluate AI models and provide structured feedback • Develop prompts for AI models reflecting your field • Deliver clear and structured feedback • Work independently from anywhere during flexible hours

• Evaluate what AI models produce in your field • Assess content related to your field of work • Deliver clear, structured feedback that strengthens the model’s understanding of your workplace tasks and language • Develop prompts for AI models that reflect your field • Evaluate responses from the AI models