A niche legal-innovation show focused on how AI and smarter operations are changing law firm economics, pricing, and delivery models. It’s a strong booking target for leaders who can translate generative AI and legal tech into practical business strategy and talent/workflow redesign for law firms and legal departments.
353 episodes, Weekly, 4.7 rating
<1k, Male, USA
30s Ad: 16 - 19, 60s Ad: 19 - 22, CPM Category: Technology
Welcome to The Geek in Review, where podcast hosts, Marlene Gebauer and Greg Lambert discuss innovation and creativity in legal profession.
Marlene Gebauer, Greg Lambert
Business, Technology, Careers
Typical Credentials:
Senior legal-innovation operators and commercial/legal-tech leaders (e.g., founders/co-founders of legal tech/ALSP or process/AI consultancies; former BigLaw litigation/partnership leaders turned operators; pricing/profitability/practice-operations specialists; law firm leaders building AI-enabled delivery models). Strong track record of explaining AI + legal business mechanics, not just tool commentary.
Required Achievements:
Built or led AI-enabled legal service delivery models (law firm, ALSP, or tech-enabled practice), Authored or widely recognized for legal-tech/commercial-of-law thought leadership, Led pricing/profitability or legal project management transformation work, Developed structured workflow/process approaches for AI-augmented legal work (e.g., diligence decomposition)
Andy Chagui - Flexible Staffing For Overflow/secondments/interim Needs; Training/review For Ai-enabled Work; Leverage And Client Value., Alex Su - Flexible Legal Talent; AI Pressure On Leverage/pricing; Law Firm Staffing And AI Adoption Support., Keith Maziarek - AI Impact On Legal Pricing/economics; Value/risk Predictability Conversations; Ai-driven Staffing And Delivery Models., Lennie Nuara - Talent-first, Ai-as-force-multiplier; AI For M&a Diligence Workflows; Risks Of Polished AI Output/model Monoculture; Pricing And The Billable Hour.
Legaltech, Artificial Intelligence, Pricing, Law Firm, Workflow, Talent, Innovation, Process, Data, M&a