LJN Newsletters

Artificial intelligence is no longer a futuristic idea for law firms; it is a rapidly evolving reality reshaping the way practices operate, offering law firms opportunities for greater efficiency, enhanced research capabilities and improved client service. However, as AI’s role in legal work expands, firms must adopt well-defined AI policies to protect client confidentiality, mitigate risks and ensure ethical compliance. Without a structured AI framework, law firms expose themselves to security breaches, malpractice risks and reputational damage.

The contrast between the Trump Administration’s ostentatious embrace of cryptocurrency and the prior administration’s chilly skepticism has led some to suggest that the multi-billion-dollar industry is at the dawn of an enforcement-devoid free for all. A more recent, lower key announcement, however, indicates that enforcement still has a pulse, and can be expected to play a part in that new approach.

The New Jersey Data Privacy Act (NJDPA), went into effect this past Jan. 15. The NJDPA represents New Jersey’s entry into the burgeoning field of data privacy laws, as it joins 18 other states that have passed such laws.

While the amount of AI legislation introduced in various states is relatively limited, the scope of issues being legislated is quite broad. Despite the many uncertainties that remain to be clarified, there are actually many parallels between how data privacy laws took shape five years ago, and how AI legislation is developing today.

This two-part article discusses the proof required for information to be considered a trade secret under U.S. statutory law, and includes detailed insight into the six-factor test outlined in the Restatement of Torts. Part One includes the evolving tests for determining a trade secret.

What makes a law firm a best-in-class financial performer — and how to make my own practice more successful and enjoyable? This article provides simple principles any small to midsize law firm can use to improve performance.

Today, building brands solely on the promise of a different product or service has become unsustainable. Any “new and improved” feature or benefit is quickly eclipsed by competitors. Consequently, brands signal category superiority not through rational claims, but by reinforcing a distinct persona — a “ness” comprised of distinguishing traits and behaviors that form an ownable brand essence difficult for competitors to replicate.

In the fast paced world of commercial real estate, AI is emerging as a critical tool to increase efficiency, reduce costs and provide new opportunities. The infusion of AI into the real estate industry has the potential to change how properties are valued, managed and marketed.