Greenberg Traurig Deploys Agentic AI for Legal Workflow

The platform functions by analyzing legal issues, retrieving authoritative content from Westlaw and Practical Law, and drafting documents with verifiable citations. Unlike conventional generative models, this system adjusts its workflow in real-time as new facts arise. Chief Executive Officer Brian L. Duffy emphasized that the firm’s strategy focuses on pairing this technology with attorney judgment to maintain efficiency. Chief Pricing and Innovation Officer Matthew N. Beekhuizen added that the tool’s integration with DeepJudge ensures lawyers can leverage firm-specific knowledge while maintaining professional standards.

To manage potential risks, Greenberg Traurig employs a governance framework that mandates human oversight for every AI-generated output. Supervising shareholders review all work products before they are delivered to clients, and the firm explicitly prohibits AI models from training on confidential client data. This approach aligns with the firm’s broader commitment to information security, ensuring that the adoption of agentic intelligence does not compromise data privacy or client trust.