Trust and control emerge as the defining themes in the latest round of expert content on legal AI and LLM infrastructure. In a new OpenAI video, Thomson Reuters' Camillo Speroni explains how the company's collaboration with OpenAI brings HighQ and CoCounsel Legal into ChatGPT Enterprise. For Speroni, the foundation of this work is trust: legal AI must produce output that lawyers can verify, cite, and confidently put their name on. The discussion highlights how frontier AI and deep legal expertise combine to meet the rigorous standards of professional practice.
On the infrastructure side, MLflow Ambassador Shrinath Suresh continues the MLflow A–Z video series with an installment on the Control Plane. The episode demonstrates how MLflow AI Gateway sits between applications and model providers, giving teams a single place to manage access control, budget policies, and guardrails. Viewers learn how to route requests based on traffic, track usage, and integrate governance directly into AI workflows.
Together, these posts reflect a maturing AI landscape in which reliability and oversight matter as much as capability. Speroni's focus on verifiable, citable legal output speaks to trust at the point of use, while Suresh's walkthrough of the MLflow AI Gateway addresses control at the infrastructure level. For professionals
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