A Microsoft manager claims OpenAI's DALL-E 3 has security vulnerabilities that could allow users to generate violent or explicit images (similar to those that recently targeted Taylor Swift). GeekWire reported Tuesday the company's legal team blocked Microsoft engineering leader Shane Jones' attempts to alert the public about the exploit. The self-described whistleblower is now taking his message to Capitol Hill. "I reached the conclusion that DALL·E 3 posed a public safety risk and should be removed from public use until OpenAI could address the risks associated with this model," Jones wrote to US Senators Patty Murray (D-WA) and Maria Cantwell (D-WA), Rep. Adam Smith (D-WA 9th District), and Washington state Attorney General Bob Ferguson (D). GeekWire published Jones' full letter. Jones claims he discovered an exploit allowing him to bypass DALL-E 3's security guardrails in early December.

Eleanor Lightbody is CEO of Luminance, a leading provider of AI technology for document review and legal process automation. As I look ahead to 2023, it feels in many ways that we are entering the year with a similar sense of uncertainty to the one before. Soaring inflation, along with the ongoing conflict in Ukraine and supply chain insecurity, has left the global economy on the precipice of a recession. And as these stresses combine, businesses--and the legal teams that sit at the heart of them--are finding themselves on the front lines of dealing with the growing ramifications. Economic uncertainty is creating an environment of enhanced commercial risk and concern around existing liabilities.

As more enterprises automate away the tedium faced by in-house departments, a question looms: why haven't in-house legal departments caught up? Internal legal processes for drafting, analyzing, and managing simple legal documents are still manual and tedious. What is stopping legal departments from automating away the pain? As it turns out, a major barrier for adoption lies in the most common means of automation itself: Machine learning. Contract Lifecycle Management (CLM) software streamlines and automates several stages of the contract lifecycle - from the initial drafting stages all the way up to negotiation, signature, and the final expiration of a contract.

After several years as a startup, we seem finally to have gotten large and popular enough that management and legal are looking at how we store and segregate our user data. To say this feels like a fire drill would be understating it. Everyone now seems to have an opinion on how we should handle user data. Meetings on this topic would be funny if they were not so tragic. It is not as if we are a huge company that claims billions of users, and, of course, it is important to protect our customers' data.

AI refers to the possibility of a device or machine mimicking the capabilities of the human brain, which oftentimes learns from old experiences to respond to decisions, languages, and problems. These AI capabilities have become surrounded the law industry processes. Law firms have become prominent for AI adoption, but also other fields started to embrace tech advancements, like healthcare, pharmaceutical, high tech & communications, monetary amenities, and so on. Advancements in technology allow law firms to scan documents, assign casework to lawyers, and communicate easily with clients. A study made by McKinsey shows that about 23% of work done by law companies can be computerized.

Artificial Intelligence has struck almost every domain and results are getting accurate day by day. We present a study of how AI is automating law and legal domain and what can be some of the future applications which can help the legal industry to automate their process. In the past, contract review auditors had two tasks that appeared to be in direct conflict with each other: to perform a contract review quickly and to conduct a thorough contract review. To balance these competing ends, auditors take representative samples from contracts rather than working on the entire data community. It's no surprise then that accounting departments and corporate finance institutions are turning to cognitive technologies to help Deliver more value and improve the bottom line of the organization.

Globally recognized business builder, thought leader, author, former consulting partner and high-tech executive. Corporate legal departments have historically been resistant to automation and technology adoption, but the effects of the pandemic forced many to shift gears and pursue, or at least actively consider, more automation for legal activities. Artificial intelligence (AI) has been the cornerstone of this strategy, and mapping key investments to business outcomes remains a challenge. Similar to how email and the internet changed how legal departments functioned, AI is growing its impact. This cusp of a revolution will transform the practice of law.

Non-disclosure agreements (NDAs) are some of the most commonly drafted agreements at any company. While they may be common, however, that doesn't mean they're unimportant – in fact, they're critical to protecting a company's business strategies and trade secrets. Most companies use the same form NDA in almost every situation, changing only party names and the description of the confidential information involved, leaving the rest of the agreement to a series of standard terms. This means that, even though they're important, NDAs are very repetitive and routine in terms of drafting. Corporate legal departments have long been bogged down in routine contracts. Preparing NDAs can take up a significant amount of lawyers' time, taking them away from other important work that can bring more value to the organization.

Summary: Some industries are a clear slam-dunk for AI/ML applications and some less so. The legal, regulatory, and compliance businesses (law firms, internal legal departments, and the contract review and regulatory compliance departments of heavily regulated industries) fall in this last category. This is a review of seven companies found by TopBots to be successful; pointing to opportunities others can follow. Remember just a few years ago when we were looking forward to now or a little beyond and imagining what applications AI/ML would have in different industries. Some of those prognostications were slam dunks as they applied to customer propensity or using machine vision to count whatever widgets you were interested in.

Are professional communicators at risk of being replaced by machines? Can corporate, and perhaps even marketing, communications be performed by software? Or is communication something we deem to be exclusively human? Do we feel immune from the forces of artificial intelligence (AI) because we believe only humans possess the ability to create things like irony, nuance or even humor? These are pretty serious questions.