Some say allowing artificial intelligence (AI) to determine guilt or innocence in a courtroom is a step too far. But for those who are sceptical about the neutrality of human judgment, or have witnessed an unfair justice system in action, AI and legal robots could be the answer to providing a fair and impartial jury. We already automate so much else in society, so why not extend this smart automation to juries? After all, lawyers rely on technology to scan documents for keywords or evaluate collected data. And people can now use legal chatbots to determine if it's worthwhile to pursue their case in court.

Our society is transforming at an unbelievable pace today as the industries are being influenced by new-age technologies like machine learning and Artificial Intelligence (AI). We saw tech giant Microsoft unveil Xiaoice, an AI-bot that can place voice calls just like humans, gaming leader NVIDIA joining hands with Nuance to create an AI Marketplace for Diagnostic Imaging, and other big players leveraging the powerful and versatile technology that AI is. However, there are many innovative startups in the AI domain that the disrupting the industries too. Riminder is taking the recruitment process to a whole new level by simplifying and accelerating the hiring process to help recruitment companies find the right candidates easily. Riminder uses deep learning to rank millions of candidates who apply for jobs by comparing their resumes with employees that are currently working as well as others from different parts of the world that fit the job description.

Machine learning is taking the tech world by storm. Google announced it was open-sourcing Tensor Flow, their machine learning (ML) software, and Microsoft quickly followed suit. Baidu and Amazon unveiled their own deep learning platforms a few months later, while Facebook began supporting the development of two ML frameworks. But the revolution has spread far beyond the tech realm. As ML continues to take over the tech world, companies and researchers outside the tech bubble have started using ML in somewhat strange and surprising ways.

Machine learning is taking the tech world by storm. Recently, an announcement that Google was open-sourcing Tensor Flow, their machine learning (ML) software, and Microsoft quickly followed suit. Baidu and Amazon unveiled their own deep learning platforms a few months later, while Facebook began supporting the development of two ML frameworks. But the revolution has spread far beyond the tech realm. As machine learning (ML) continues to take over the tech world, companies and researchers outside the tech bubble have started using ML in strange and surprising ways.

Artificial intelligence and machine learning technologies are now available to entrepreneurs via a broad range of online tools and applications. AI-powered solutions can help entrepreneurs automate their business communication, generate insights from phone calls, sales and marketing data, create intelligent social media and content strategies, and much more. To help entrepreneurs navigate the expanding ecosystem of business AI solutions, here's a list of six must-have AI tools every entrepreneur should use. Perfect grammar, spelling and style are essential for your content writing strategy, pitching to investors and written communication with consumers. Error-free content helps establish your business as professional and trustworthy.

The violent android may not be far from reality in China, where'legal robots' are being used in one province to help decide thousands of cases. The machines stand three-feet-tall (90 centimetres) and are used to review cases, check facts, and offer sentencing opinions. 'Legal robots' (pictured) are being used in China to help decide thousands of cases. China's case management robots are not the first machines designed to help with legal issues. DoNotPay, a robot that has been helping people to dispute around 160,000 parking tickets since 2015, expanded its capabilities last month.

'Legal robots' have been deployed on thousands of cases in China to help decide sentencing. The robots - which are about three feet tall and have heads shaped like toasters - review documents and identify problems with cases. They also advise on sentencing, and can generate arrest warrants and "approve indictments", said prosecutors in the eastern province of Jiangsu, where the robots are being piloted. Almost 15,000 legal cases have been reviewed by the robots since they were deployed last September, officials said at a press conference this week. They have detected issues and corrected mistakes in more than half the cases, and 541 convictions were commuted.

One of the country's biggest law firms has become the first to publicly announce that it has "hired" a robot lawyer to assist with bankruptcy cases. The robot, called ROSS, has been marketed as "the world's first artificially intelligent attorney." ROSS has joined the ranks of law firm BakerHostetler, which employs about 50 human lawyers just in its bankruptcy practice. The AI machine, powered by IBM's Watson technology, will serve as a legal researcher for the firm. It will be responsible for sifting through thousands of legal documents to bolster the firm's cases.

Artificial Lawyer caught up recently with Dan Rubins, the Founder and CEO – and also the CTO – of Legal Robot, one of the new breed of AI-driven document review start-ups. We discussed how he moved from working in a medical services company to joining the fray as a legal AI pioneer, how working on smart contracts may be where the company eventually ends up and why there's a big world of opportunity out there. The San Francisco-based founder of Legal Robot, Dan Rubins, is not a lawyer by background. But, his experiences have taught him a lot about the inefficiencies of document review, while his long term interest in technology and programming has also helped. Perhaps, most fundamentally, Rubins is a self-proclaimed engineer.

Despite predictions of a tech slowdown, big-name businesses like Facebook, Apple, and IBM are pouring resources into artificial intelligence (AI), changing the field and gaining the interest of venture capitalists everywhere. As investors actively seek innovative players in the AI space, more entrepreneurs are gravitating toward the technology as they build and grow their own companies. Businesses such as Sentient, Context Relevant, and Scaled Inference all continue to work on their own multifunction AI platforms for computation and analysis, but this is only a small segment of the AI market. Multiple businesses now invest time and effort into purpose-built AI products. Here are a few of the businesses that are capturing attention in their respective industries for their AI work. With total capital of $58 million, AI specialist Kensho is already showing just how serious investors are about the technology.