The next phase of artificial intelligence in legal technology will not be defined by a better chatbot or a faster document-summarization tool. It will be defined by whether AI systems can take responsibility for real work that unfolds over days or weeks, spans multiple systems and communication channels, and returns control to an attorney at the moments when human judgment matters most.
Operating a network has not changed in decades. Every network engineer knows the drill. An alert fires. You open a dashboard. Then another. Then you pull logs, review client history, ping the wireless team, and, hopefully, an hour later, there is enough context to start solving the problem. The industry spent a decade building better dashboards, even though operations teams needed fewer.
Netskope Inc.’s latest quarter delivered a solid beat and a raise, but the company’s story goes beyond the numbers. It demonstrated improving operating discipline, a meaningful rebound in net-new annual recurring revenue, and early evidence that artificial intelligence security could become a material expansion engine — even if it is not yet a near-term revenue cure-all. The market’s response to Netskope has been surprisingly cautious.
At its first Horizon customer and partner event this week, Equinix Inc. argued that the architecture of enterprise artificial intelligence is being reshaped by a simple yet hard-to-answer question: Where should inference run? For the past several years, much of the AI infrastructure conversation has centered on the supply and cost of accelerated computing. The focus has been on graphics processing units, AI factories, training clusters and the unprecedented capital buildout required to support them.
As Nvidia Corp. announced this morning that it has agreed to acquire Hugging Face Inc. for $12.93 billion — one of the largest acquisitions in the company’s history — Chief Executive Jensen Huang promised that the platform will retain its brand, its leadership and, according to both companies, its neutrality. “Hugging Face will remain an open platform for the entire AI ecosystem,” Huang said. “Nvidia compute will not be required to build on or deploy through Hugging Face.”