Artificial Intelligence

California is betting that it can accelerate AI adoption by acting as a demanding, trusted buyer, and that the governance evidence it extracts through procurement can become infrastructure the rest of the market reuses.

Headless is a simple idea with a complicated name: de-couple what a system knows from how it shows it. In a headless model, the firm’s intelligence layer sits underneath the AI tools. The interface can change, the AI platform can change, but the data layer remains the strategic prerequisite.

The experience database sits among the highest-value assets in law firm marketing and business development. It has become increasingly important, and is now also critical for firm visibility and has moved from optional infrastructure to a foundational competitive requirement.

As AI becomes embedded in the ways evidence is generated, enhanced, analyzed and authenticated, the fight will be about the foundation. It will be about reliability, transparency, bias, and the ability to challenge what the machine did.

This is the second installment in a two-part series examining the implications of using generative artificial intelligence (GAI) in the drafting and prosecution of patent applications. In this part, we address the potential impact of drafting a patent application with a GAI tool, including potential invalidity challenges based on anticipation and written description. Thereafter, we offer practical guidance for patent prosecutors and inventors seeking to use GAI in their workflows.

AI-enabled and AI-first often describe the adoption of new technology, but they reveal very little about how the services are delivered or how they will produce better business outcomes for clients. Two firms may both claim to have AI built into their patent processes but operate in fundamentally different ways.

As digital assets become increasingly ingrained into financial systems, organizations will need to be vigilant and proactive. This will require leveraging innovative technologies, including solutions that combine AI and blockchain, to equip experts and investigators so they can more effectively prevent and enforce against advanced forms of crime.

Why advanced AI will change legal practice without making lawyers obsolete.The future value of lawyers will come less from generating first drafts and more from knowing how to choose, feed, test and deploy professional systems in a way that serves the client’s strategy.