Legaltech Hub

Perhaps the greatest lesson we've learned is that AI strategies should be designed around people, not technology. Too many organizations begin by asking which AI platform they should deploy. A better question is how their people naturally want to work. When organizations start with their talent rather than their technology stack, better decisions follow. Employees are happier, adoption improves, software investments become more intentional, and innovation happens organically instead of through mandates.

Anthropic announced in June that its most advanced Mythos-class models, including Fable, would be excluded from Zero Data Retention (ZDR) agreements. Each organization will need to conduct a risk versus benefit analysis to decide how best to approach the use of these “covered models.” While the same risk of review and retention impacts us all, some types of legal work will likely trigger more reviews than others.

Although any law firm can use a foundational set of technologies to broadly support its lawyers, different practice areas have specific needs that often require unique capabilities. The Tech Stack series provides readers with a recommended set of tools to optimize the quality and effectiveness of legal work and output in particular practices or environments based on industry expertise. This real estate law Tech Stack is based on the expert contributions of Keely Duke, Attorney & Founding Member, Duke Evett, PLLC.

Effective prompting is less about saying more than it is about saying the right things. Yet much of the existing guidance encourages longer, increasingly detailed instructions in pursuit of better answers. The result is often higher costs and weaker outputs. This article explains why disciplined prompting consistently outperforms verbose prompting, particularly in legal workflows where precision is of utmost importance.