BEAGLE: A YEAR IN REVIEW

Posted by Cian on Jan 5, 2017 10:22:36 AM

Legal Tech and AI have both experienced a whirlwind year. It’s been fascinating to watch the perspectives from notable visionaries, academics, lawyers, journalists and tech bloggers alike! The cumulative effects of open-minded communication amongst these forward-thinking people are starting to bring tangible solutions to an industry which, was quite overdue for some serious modernization.

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Topics: Machine Learning, Legaltech, AI

OPTIMIZING DATA ACQUISITION

Posted by Iulius on Sep 12, 2016 10:00:00 AM

It's intuitive that if you take the topics you know the least and you learn those, you'll get a better test score. However, when we switch this idea to mathematical function optimization in a very large hyper dimensional space (also known as Machine Learning), things tend to not go by our intuition anymore. Thus, we better test the assumption.

The thing with hyper-dimensionality is that everything changes a lot in a way we can't naturally picture. Our imagination goes up to, say, four dimensions (e.g. 3D heat map, where the fourth dimension is the color), maybe even 5 or 6D if we specifically train our brain for that. We could add sound to that graph or other crazy ideas, but the brain needs time to acquire the intuition for that "dimension". So, there's no way for us to imagine a 10.000D space and everything that it entails.

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Topics: Machine Learning, Artificial Intelligence, NATURAL LANGUAGE PROCESSING

THE DANGERS OF BEING CALLED AN "AI LAWYER"

Posted by Cian on Aug 30, 2016 11:24:00 AM

Our friends at ROSS Intelligence have had some fantastic milestones this year. One of them was when a significant bankruptcy law firm "hired an Artificial Intelligent Lawyer" from ROSS. This press release caused some huge conversation online. Some of the comments, I take issue with, in short: 
1. There was an unwarranted concern on how ROSS uptake would cause an issue with training lawyers.
2. There was a complete and utter misclassification of ROSS as a "Lawyer".
3. There was a poorly articulated reflection on how technology can assist in our day-to-day lives.

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Topics: Machine Learning, Legaltech, #Lawyers, Artificial Intelligence, AI, NATURAL LANGUAGE PROCESSING

TO BID OR NOT TO BID? - THAT IS THE QUESTION

Posted by Cian on Jul 19, 2016 11:30:00 AM

"People just naturally assume that dogs would be incapable of working on some sort of construction project. But what about just a big field full of holes?” ~Jack Handey

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Topics: Construction, Machine Learning, Legaltech, #Lawyers, Data, Bid Assessment

Machine Learning: Popularity Because of Simplicity or Resulting Convenience?

Posted by Costin Chiru on Jan 29, 2016 3:03:32 PM

A few days ago I found the following question on Quora: "Is machine learning so popular because it is so easy to understand and work with?" and although the question is not new (dating from 2 and a half years ago), only 3 people answered it. In their own way, they all said that machine learning (ML) is not easy at all, and while I agree with the difficult aspects that they pointed out, I believe that there are still things to be said about this topic, especially as there are people who think the opposite (for example, Ben McRedmond) and, moreover, they are trying to convince others about this.

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Topics: Machine Learning