After announcing a management buyout from Hewlett-Packard, iManage became the largest independent software company focused exclusively on professional work product management. In July 2015, as a result of a management buyout from Hewlett Packard, iManage became the largest independent software company focused exclusively on professional work product management. Since then, we've met with clients in dozens of countries. We listened when people explained how their work has changed. Now, we're delivering dramatically improved versions of key products alongside enhanced support services.

Encouraged by media portrayals of AI, a widespread myth is that AI simply learns by itself. For example, a common misconception represents AI as a digital brain that can be plugged and played into a given scenario, learning to solve X, Y, Z challenges on its own. Such representations are based on fiction, not fact. While AI is a robotic brain that can learn, it learns in a different way than a human brain. AI uses mathematics and pre-classified data to learn. Crucially, AI needs a human brain to guide it through the learning process by pre-classifying data into categories that it can examine and categorize.

Encouraged by media portrayals of AI, a widespread myth is that AI simply learns by itself. For example, a common misconception represents AI as a digital brain that can be plugged and played into a given scenario, learning to solve X, Y, Z challenges on its own. Such representations are based on fiction, not fact. While AI is a robotic brain that can learn, it learns in a different way than a human brain. AI uses mathematics and pre-classified data to learn.

It's been an incredible year for the'New Wave' of legal technology and Artificial Lawyer has hopefully been able to bring you some of the key moments in this evolutionary journey that is unfolding week by week all around the world. Now, as we head toward 2018, many of the leading players and commentators in the legal AI, legal bot and data analysis world have been asked to give their views on what has taken place and what will happen next. Plus, next year there will be predictions from the world of smart contracts and legal blockchain, (Hi, Clause, Integra Ledger and IBM's Cognitive Legal team, to name a few!) Artificial Lawyer asked an array of experts to name what was the biggest development for legal AI and the New Wave of legal technology this year, and what they expected to see happen in 2018. They were invited to respond with text or images to illustrate their views, and if they were up for it, a haiku or longer poem. Naturally, we couldn't fit everyone in – the legal tech world is just so massive now – but hopefully you'll find this collective wisdom both inspiring and thought-provoking – and fun – I know Artificial Lawyer did.

Founded in 2010, RAVN has developed an AI platform that can organize, discover and summarize relevant information from large volumes of documents and unstructured data. Businesses are using RAVN's unique technology to analyze legal documents like contracts and leases, identify information which is privileged or subject to compliance and automate document classification for easier search and governance. "We have been using RAVN over the past seven months to analyze global supplier agreements," said Horia Selegean, Head of Revenue & Margin Assurance, BT. "We anticipate cost savings of tens of millions of pounds every year through discovering contract optimizations and synergies." The Serious Fraud Office, a UK-governmental department in charge of prosecuting complex cases of fraud and corruption, recently used RAVN to help a team of investigators sift through 30 million documents. RAVN processed 600,000 documents per day – a target that would be nearly impossible for a human work staff – allowing investigators to save many months of work.

Founded in 2010, RAVN has developed an AI platform that can organize, discover and summarize relevant information from large volumes of documents and unstructured data. Businesses are using RAVN's unique technology to analyze legal documents like contracts and leases, identify information which is privileged or subject to compliance and automate document classification for easier search and governance. "We have been using RAVN over the past seven months to analyze global supplier agreements," said Horia Selegean, Head of Revenue & Margin Assurance, BT. "We anticipate cost savings of tens of millions of pounds every year through discovering contract optimizations and synergies." The Serious Fraud Office, a UK-governmental department in charge of prosecuting complex cases of fraud and corruption, recently used RAVN to help a team of investigators sift through 30 million documents. RAVN processed 600,000 documents per day -- a target that would be nearly impossible for a human work staff -- allowing investigators to save many months of work.