When you need AI to be more than magic
AI has long been a buzzword. It’s now a real tool—one of the most complex ever made by humans.
The concept of “artificial intelligence” has its roots in the first computers, and it caused just as much magical thinking then as now.
For most, AI feels like a magic wand converting data from one kind to another: photos to faces, speech to text, or questions to answers. Sometimes, the AI works; sometimes, it produces nonsense. General notions of “training” and “inference” hint that something is behind the curtain, but half the industry is built on keeping you from pulling the curtain too far back to ask what, or why, or how.
That level of detail may be good enough for a fun app or a grammar checker, but when your business, your investments, or your clients’ needs are at stake, you need to get AI right.
Our team lives in the middle ground between science and application, combining technical depth with pragmatic experience to ensure that you understand AI at the level of detail that is useful for you. Our job is done when you can read about a new AI development and feel comfortable estimating how it works and how it fits into the landscape.
Practice Areas
Law
AI touches on an enormous array of intersecting and unresolved legal issues, in fields including IP, international, labor and civil rights. The cases of the near future will turn on the details—what’s happening “inside the black box” of AI. Cutting through misconceptions will help you be prepared for your clients’ needs and expectations.
Government
At the same time as AI is powering the transformation of government services, it’s also causing fundamental shifts in the regulatory environment. Whether you need to understand the potential and limitations of AI or the regulatory risks of AI adoption, your strategic planning will depend on the concrete realities of today’s tech.
Business and Finance
Every field of commerce is seeing disruption from AI: increased productivity and opportunities for agile businesses, but also new competitors and uncertainty about the workforce impact. Companies that do AI right—treating it as an engineering tool, not a magic wand, and building for the long term instead of trying for a hype-based cash grab—have started to dominate their markets. Your investments are best made with and protected by intuitions you can develop from a practical understanding of how modern AI works.
“If knowledge can create problems, it is not through ignorance that we can solve them.”
– Isaac Asimov