Legal Innovators California Breakfast – June 9

Mastercard is expanding its global settlement network to include regulated stablecoins, intraday options, and weekend and holiday processing, giving card issuers and acquirers new tools to manage liquidity beyond traditional banking hours. What Mastercard Is Enabling The payments giant announced plans to support onchain card settlement using stablecoins alongside existing fiat processes. Partners will be […]

By Karen Waldron, LexisNexis. The legal profession is built on trust, which creates a very specific challenge for AI. Even the most advanced technology will ...

We already have 600 people attending the landmark Legal Innovators California conference in San Francisco at the CJM on June 10 and 11, but the ...

Enterprise IT leaders have always struggled with AI pricing, especially the need to pay for AI in a way that delivers ROI. But the typical IT exec may not be right person to decide how a company uses AI — and how it tries to deliver ROI — because so many line-of-business workers and partners are now experimenting with the technology on their own. And if IT leaders don’t have a grip on how they want to use AI over the next year or two, it’s impossible to figure out how they want to pay for it. They likely hate the current method of paying per token. And other options, such as SAP’s push to charge per AI task completed, aren’t any better.  To use a sales analogy, IT doesn’t want to pay a lot of money for leads, because there’s no way to know if those leads will generate any revenue — let alone how much. What IT leaders want is the tech equivalent of paying commission, where they only pay when a lead converts into a paying customer. And even then, they only pay a percentage of the final s

The starting gun has been fired and the legal tech world faces significant change. With the hire of Jason Boehmig, founder of Ironclad, OpenAI is ...

When Claude for Legal announced its formal launch most of the focus was on the 12 main plugins and the MCP connectors to legal tech ...

The NVIDIA AI Cloud ecosystem is accelerating the global buildout of AI factory infrastructure. Partners are expanding capacity to meet growing demand from enterprises, startups, nations, AI labs and developers scaling agentic AI applications.  NVIDIA AI Clouds are a growing ecosystem of purpose-built clouds serving the exploding token demand behind today’s most popular AI applications. […]

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