Having helped incorporate Paradox less than four years ago, we were proud to represent Paradox in this important financing, which signifies its status as one of Arizona's premier emerging growth companies,

The past decade has seen disruption become a key catchphrase in business, politics and public thought, as the impact of disruption spreads across economies. While this disruption may manifest as new business models, and the upending of old ones, it is technology that is enabling all of this change. The insurance sector is being particularly affected by disruption. Smart phones have created a new means of distributing insurance products and lodging claims. The vast amounts of data generated and collected each day create opportunities for better underwriting and new products. Furthermore, the importance of digital assets has created opportunities for new insurance products, such as cyber-insurance.

She consults an app on her phone, which asks an increasingly sophisticated series of diagnostic questions. The app also takes in data from Janet's fitness trackers that monitor heart rate, blood pressure and blood sugar. The app decides that Janet's symptoms look serious, and it arranges a video chat with a human doctor to discuss options so that potentially bad news can be presented in a more'human' way. The doctor has access to Janet's data remotely, along with access to a more sophisticated diagnostic, Artificial Intelligence. During that consultation Janet is booked into a clinic for medical imaging scans to aid in further diagnosis.

True'smart' technology - systems that can use data from many sources to learn and improve - are transforming everything from manufacturing and enterprise services to consumer goods and social media. The use of automation and artificial intelligence is at the heart of this transformation, but it brings with it a broad range of legal, regulatory and ethical challenges. With smart sensors and the'Internet of Things' providing the eyes and ears of these intelligent systems, controlling who holds data about you and what they use it for becomes more difficult. Who is liable for decisions made by autonomous systems - from injuries caused by self-driving cars to discrimination by automated systems used for credit checking on loans - is often far from clear cut. We will consider how consumers, businesses operating these AIs and the vendors selling AI-driven products or licensing these systems each have a part to play in defining a new landscape for legal risk after the rise of the robots.