Senior AI Innovation Manager

Senior AI Innovation Manager at McDermott Will & Schulte

Build your big career with the firm that does Big Law, Better
. McDermott Will & Schulte is a leading global law firm that brings together more than 1,750 lawyers and 3,200 business professionals. We celebrate excellence, collaboration, and community and have been recognized as a top workplace by USA Today, Fortune, The American Lawyer, Vault and others. We are also certified by Great Place to Work.

With us, you’ll find opportunities for growth and a culture that supports you in and outside of the office.

The Senior AI Innovation Manager (i) serves as the product owner for ChatGPT, CoCounsel, CoPilot, and all custom Legal AI Assistants developed by the KM team and (ii) executes firmwide, CKO-led initiatives that apply AI to enrich the firm’s matter, billing and financial data. As product owner of our GenAI tech stack, this role ensures consistent communication of developments from these vendors.

The role focuses on enterprise-level projects that support three strategic objectives: (1) enabling advanced, firmwide search capabilities through high-quality matter metadata, (2) improving compliance with outside counsel guidelines (OCGs) to protect revenue, and (3) classifying and analyzing time entry data to generate actionable insights for pricing, staffing, and the impact of AI on billing efficiency.

By applying AI to existing datasets—such as OCGs, matter intake records, historical matter data, and billing narratives—the Senior AI Innovation Manager will help the firm normalize and structure its data for the enterprise data warehouse. These enriched datasets will underpin better compliance monitoring, inform client pricing strategies, and provide benchmarks to measure efficiency gains from AI adoption.

• Vendor & Market Monitoring:
  • Serve as product owner for CoCounsel: own day-to-day vendor relationship, track roadmaps, influence priorities, and schedule feature reviews and testing.
  • Test enhancements from CoPilot on a quarterly basis to determine potential lawyer-facing use cases.
  • Track and communicate new features and product updates from OpenAI to GenAI stakeholders across KM, IT, and GC.
  • Monitor developments from other key AI vendors (e.g., Harvey, Legora, Centari) to evaluate emerging tools for potential firm use.
• Enterprise Data Projects:
  • CKO-Driven AI Data Projects:
    Execute AI-driven initiatives prioritized by the CKO that strengthen matter metadata, billing compliance, and financial insights.
  • Matter Metadata Capture:
    Use AI to classify new business intake and client/matter records into matter types, roles, and industries; ensure clean, consistent metadata capture for the enterprise data warehouse.
  • OCG Data Extraction & Compliance:
    Deploy AI (e.g., CoCounsel or Relativity) to extract billing and compliance requirements from outside counsel guidelines, structuring them for enterprise use to reduce billing disputes and revenue leakage.
  • Classify and Enrich Historical Matter Records:
    Apply AI to analyze legacy matter records and fill in missing metadata such as client roles, outcomes, jurisdictions, governing law, practice areas, and industry sectors. Ensure consistency across the enterprise data warehouse to enable more powerful search and analytics.
  • Classify and Analyze Time Entry Narratives:
    Use AI to classify large volumes of time entry narratives into phases, tasks, and activities to build a richer dataset on how matters are staffed and executed. Leverage this structured data to identify portions of matters that consume the most time, inform pricing and alternative fee arrangements, and benchmark the impact of AI adoption by comparing billing patterns on AI-enabled matters to those handled through traditional workflows.
  • Client & Matter Outcome Tracking:
    Develop AI workflows that classify matters by results and connect them to financial, staffing, and industry attributes, creating a richer dataset for experience management and client pitches.
  • AI Over Internal Data Delivery:
    Translate firmwide priorities into targeted AI-enabled assistants. Design labeling/annotation workflows, prompts,…