By now you've probably heard the deepfake AI-generated verses mimicking rappers like Drake, Kendrick Lamar, Nas, and Jay-Z. While the technology was shaky at first, these days it's so eerily good it's almost impossible to even tell you're listening to a fake -- especially when the creator has the cadence and delivery of your favorite rapper down pat. As the world continues to immerse itself in AI -- from sophisticated language models like ChatGPT and Bing (or Sydney if you ask it the right way) to AI image generators, and more -- the lightening-fast pace of the technology seems to be outrunning society's ability to adapt to the new future. Deepfakes can be entertaining -- we all loved Kendrick Lamar's "The Heart Part 5" video, but they can also be scary, even dangerous. As Axios pointed out in February, right now generative AI is a legal minefield.

Legal technology, commonly known as LegalTech, refers to software that enable lawyers to do their jobs more efficiently and cost-effectively. Though very much an emerging sector, LegalTech already comprises a $16 billion market in the U.S and is growing. Undoubtedly the biggest change in this burgeoning market --taking lawyers by storm--is the rapid rise of artificial intelligence technologies. Here we look at how AI is transforming the everyday practice of law, changing the profession and skills required by lawyers. More than 40 companies are offering solutions--from removing arduous contract reviews, to eDiscovery, or even providing intelligence on where best to try a case.

Using Computer Forensics to Investigate Employee Data Theft Dollars & Data: Law Firms Increasing Marketing, Business Development Tech Spend Clients Not Ready to'Talk to a Robot,' but Jackson Lewis Bets on Automating Compliance Tasks Machines Are Organizing Legal's Data, But Not Fast Enough Machines Are Organizing Legal's Data, But Not Fast Enough

An In-House Counsel's Guide to eDiscovery For practiced in-house counsel, managing eDiscovery can be like suddenly living in a country where nobody speaks your language. This white paper offers best practices, a comprehensive map of the eDiscovery terrain, and tips for effective eDiscovery efforts. Complimentary White Paper: Mitigating Risk in Handling eDiscovery This white paper takes a deep dive on the subject of U.S Export Control laws and regulations, and how they dictate your eDiscovery efforts. Legal drafting technology with precision and reassurance Legal drafting can be time-consuming, costly, and - let's face it - less than stimulating. Learn how legal drafting technology can prove an essential partner here.

A wide range of problems, from contingent and multiagent planning to process/service orchestration, can be viewed as games. In many of these, it is natural to spec- ify the possible behaviors procedurally. In this paper, we develop a logical framework for specifying these types of problems/games based on the situation calculus and ConGolog. The framework incorporates game-theoretic path quantifiers as in ATL. We show that the framework can be used to model such problems in a natural way. We also show how verification/synthesis techniques can be used to solve problems expressed in the framework. In particular, we develop a method for dealing with infinite state settings using fixpoint approximation and “characteristic graphs”.