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A Bridge Too Far? Legal’s Challenges in Explaining AI Decisions

Source | 2017-06-26T18:50:42+00:00 Apr 18th, 2017|Categories: Post|Tags: , |

While machine learning cannot currently match human professionals' ability for higher-level interpretation, it is still capable of automating a wide variety of decisions. From classifying invoices and unstructured data to predicting future case outcomes, these decisions are becoming more vital in the legal space. These automated decisions are also raising ethical questions of how much the legal industry should rely on them.

IBM’s Watson Makes New Inroads Into Legal With Discovery, Business Research Offerings

Source | 2017-06-26T22:46:44+00:00 Mar 23rd, 2017|Categories: Post|Tags: , , |

Deployed last year for legal professionals as the engine behind legal research platform ROSS, Watson has recently made further inroads into the legal space with the December 2016 launch of Watson Discovery Service. Watson Discovery Service enables developers to implement a "machine learning model" in their search tools, which allows the tools to understand how certain language terms are related on a deeper level. The service allows developers to create search and e-discovery tools using Watson's technology—which can comprehend language and data on an almost human level—to find relationships in structured data and unstructured data, and categorize and index such data into a searchable database.

I Am an AI Luddite (and Why You Should Be One Too)

Source | 2017-07-11T11:34:26+00:00 Mar 22nd, 2017|Categories: Article|Tags: , , , , , , , , , , , , , , , , , |

This article discusses potential impacts of Artificial Intelligence (AI) on the legal profession. Specifically, I discuss (i) WHY you should care about AI, (ii) WHAT AI means, (iii) WHERE [...]

Harnessing automation for a future that works

Source | 2017-06-26T18:54:39+00:00 Feb 2nd, 2017|Categories: Post|Tags: , , , |

Automation is happening, and it will bring substantial benefits to businesses and economies worldwide, but it won’t arrive overnight. A new McKinsey Global Institute report finds realizing automation’s full potential requires people and technology to work hand in hand. People will perform activities that complement the work that machines do and vice versa.

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