A legal services company says it's willing to pay $1 million to fuck around and find out. On Sunday, DoNotPay CEO Joshua Browder made a wild proposition to any lawyer slated to argue an upcoming case in front of the U.S. Supreme Court. Let DoNotPay's AI lawyer, which is built on OpenAI's viral GPT-3 API, argue the case before the court, Browder said, in exchange for $1 million. All the human lawyer would need to do is wear AirPods and repeat to the court what DoNotPay's robot lawyer argues. "DoNotPay will pay any lawyer or person $1,000,000 with an upcoming case in front of the United States Supreme Court to wear AirPods and let our robot lawyer argue the case by repeating exactly what it says," Browder wrote on Twitter on Sunday night.

In the past few years, AI has burst onto the scene like never before, writing poetry, computer code, and even college essays at the drop of a hat. With every new iteration of the programs being released, the capabilities of the bots have been rising, and of late, AI has entered the art scene as well put forward its most creative side. In a new development, a company, DoNotPay, which has been training AI, has now claimed that its program will be able to defend a speeding case that is due to be heard in a U.S. court in February 2023. Identities of the individual and the court remain under wraps, but we do know that the defendant is contesting a speeding ticket. Founded in 2015, DoNotPay is an AI solution that is aimed at helping individuals fight against large organizations for acts such as applying wrong fees, persistent robocalling, or even fighting parking tickets.

I guess there's always a third option, the one Elon Musk worries about. That is, of course, Skynet. But AI is already here, even if it's not self-aware. The valid question is: what will AI do for us? Will it replace us, as we've seen automation do in factories?

Harry Potter fans will remember Professor Albus Dumbledore's nifty memory reviewer - the Pensieve. Throughout the series, several characters used it to store their memories and rewatch them to derive insights. Taking this concept from fiction to reality, Gaurav Shrivastava, Co-founder of Zimmber, built a transparent data machine - called Pensieve - AI with Co-founder Prahlad Routh. The two were ecstatic about implementing text analytics in the legal domain and the ample growth of Machine Learning (ML) and Artificial Intelligence (AI). The duo identified that legal tech could be a thing if Natural Language Processing (NLP) is used rightly, and started Pensieve in Mumbai in 2017.

The Daily Journal has recognized Morgan Lewis partner David Sanker among the Top 20 Artificial Intelligence (AI) Lawyers in California for 2019. David works with clients to build strong patent portfolios in a variety of areas, including AI, machine learning, natural language processing, data visualization software, large-scale database architecture and storage infrastructure, data analytics software, and touch screen technology. In a profile of the honorees, the Daily Journal highlighted David's unique background in software development. Earning a Ph.D. in mathematics, he worked as a software engineer developing large-scale data processing applications for over 10 years.

Over two years ago, Joshua Browder, now a junior at Stanford University, created a chatbot that could contest parking tickets in New York City and London. By June of 2016, DoNotPay had successfully contested 160,000 parking tickets -- a 64 percent success rate -- and earlier this year, Browder added capabilities to assist asylum seekers in the US, UK and Canada. Now, the bot is able to assist with over 1,000 different legal issues in all 50 states and across the UK. To use DoNotPay's AI-assisted help, you just type your problem into its search bar and links to relevant aid pop up that are specific to your location. After you navigate through different options, a chatbot then asks you questions and puts together a letter or other legal documentation.

Alfred Bester's classic science fiction novel, The Demolished Man, presents a future society where the Mosaic Multiplex Prosecution Computer -- called "Mose" for short -- has to approve every criminal charge before it can go to trial. He keeps the cops honest. Powell, a telepathic detective, tells the police commissioner, "You know Old Man Mose. He's going to insist on hard fact evidence." Decades later, artificial intelligence really is getting into the legal field.

The world's first artificially intelligent attorney, Ross, has been hired by its first official law firm- Baker & Hostetler. Other firms will shortly be making their announcements on hiring Ross as well. The law firm Baker & Hostetler have announced they will be hiring the world's first artificially intelligent attorney, Ross, for its bankruptcy practice- where almost 50 lawyers are employed. According to Baker & Hostetler's CEO and co-founder Andrew Arruda, other law firms have also signed licenses with Ross and will soon be making their announcements as well. Baker & Hostetler chief information officer Bob Craig explains why they hired the AI: "At BakerHostetler, we believe that emerging technologies like cognitive computing and other forms of machine learning can help enhance the services we deliver to our clients."

What would be your legal rights when coming up against a robot? Who would you sue if artificial intelligence denied you promotion, or even a job in the first place? What if your neighbour's future house-cleaning robot blew a fuse and crashed through your hedge or front window? A legal team from Otago University is going to try to find the answers to these questions. Robot'Nao' addresses the opening ceremony of the 2016 RoboCup China Open in Hefei, China.

Artificial intelligence (AI) is coming at us before we fully understand what it might mean. Established ways of doing things in areas like transport regulation, crime prevention and legal practice are being challenged by new technologies such as driverless cars, crime prediction software and "AI lawyers". The possible implications of AI innovations for law and public policy in New Zealand will be teased out in a new, ground-breaking Law Foundation study. The three-year multi-disciplinary project, supported by a $400,000 Law Foundation grant, is being run out of the University of Otago. Project team leader Associate Professor Colin Gavaghan of the Faculty of Law says that AI technologies – essentially, technologies that can learn and adapt for themselves – pose fascinating legal, practical and ethical challenges.