InCloudCounsel is seeking a Machine Learning Engineer to help our rapidly growing team deliver automatic negotiation with computable contracts. If you are a data or ML professional looking for a company that is financially-healthy, rapidly scaling, and impacting the trajectory of an industry, we would love to get to know you! InCloudCounsel is an industry leader in modernizing routine legal processes. Our global team works with many of the world's leading companies to offer robust end-to-end contract processing and obligation management solutions that combine cutting edge technology, deep industry expertise, and a world-class roster of legal professionals. The Machine Learning Engineer will report directly to our Director of Machine Learning and the package includes a competitive base salary, equity, and full benefits.

ArtificiaI intelligence (AI) may soon render many jobs obsolete. Remember how popular one-hour photo shops were in the 1980s and into the mid-1990s? That's just the tip of the tech iceberg, as AI now seems to be gunning to take over the legal world. The UK-based Law Society noted in a study earlier this year: "Over the longer term, the number of jobs in the legal services sector will be increasingly affected by automation of legal services functions. This could mean that by 2038 total employment in the sector could be 20% less than it would otherwise have been, with a loss of 78,000 jobs -- equal to 67,000 full-time equivalent jobs -- compared to if productivity growth continued at its current rate."

Law is a constantly evolving industry, and few things have brought about as much change as the rise of legal tech. From my days at Harvard Law School, to BigLaw, to my current role leading a legal tech company, I've seen first-hand how technology, and AI in particular, have played a critical role in bringing a risk-averse industry into the next wave of the digital era. When I arrived at Harvard Law School in 2005, artificial intelligence was little more than a theoretical concept in the legal industry. Practical applications of AI, machine learning, and natural language processing were still things of the future. It would be years before IBM's Watson would beat Ken Jennings on Jeopardy!