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


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


Posted by Cian on Aug 23, 2016 11:00:00 AM

Juliet so famously said, “What’s in a name?” to Romeo. Although her point was that the name Montague really didn’t matter to her, rather it was who Romeo was as a person that really mattered. With all due respect, Juliet was a love-stricken teenager who didn’t know a whole lot about branding or marketing.

A lot goes into choosing a name for your brand and you really only get one shot at it. Whether it’s a brand name for a new product line or choosing a name for your new company, it’s a very important decision that will have a direct impact on future success. We were no exception and put a lot of thought, research, crumpled up pieces of paper and effort into choosing the name Beagle.

Unsurprisingly, one of the questions we get asked all the time is “Why Beagle?” We’re going to answer that question for you in this blog post and offer a couple of best practices that we kept in mind when we came up with the name Beagle.

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Topics: Beagle, Branding


Posted by Cian on Aug 16, 2016 11:00:00 AM

My 4 year old son loves LEGO. He likes the mini-figures, action heroes, chima and somewhere, somehow was introduced to Star Wars figures. Now, he wants them. As a parent, we hate saying no. Something deep inside us makes us feel bad when we can't give what our child wants. That being said, we know we must say no for many reasons such as health, education, safety etc.

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Topics: sales, business, child entrepreneur, negotiation


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

Learning To Tag

Posted by Iulius on Feb 2, 2016 1:25:24 PM

When you have a long document and there's no intern around to assist you with the tedious task of identifying specific clauses and you don't know where to start, that's the moment when you most feel the need for some automation in the process.

After all, it's the age where they automatically read your car's plate to send you a speeding ticket. Why do you still have to manually annotate text documents?!

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Topics: Beagle, Artificial Intelligence

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

Before You Get Into It, How Do You Get Out Of It?

Posted by Samantha on Jan 22, 2016 1:03:59 PM

We all know it's important to read a contract before you sign it. Understanding what you are getting into helps avoid costly legal mistakes and misunderstandings from the beginning. 

As soon as I am handed a contract, I begin flipping through the pages looking for one thing: how do I get out of it? Understanding the termination clauses is my first form of insurance and protection against future possible business risks. 

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Topics: Beagle, Contract analysis, Legaltech

Should Lawyers Be Worried About AI?

Posted by Cian on Jan 19, 2016 11:58:37 AM

Artificial intelligence (AI) is a loose term for the augmentation and automation of tasks. When a task is more than a yes-or-no question– and you can get a computer to answer it–  you arguably have an artificially intelligent system. 


As a fellow at CodeX: The Stanford Center for Legal Informatics, and as the founder and CEO of a legal tech company that uses machine learning, lawyers frequently ask my opinion on whether or not the legal industry should adopt the use of AI systems.

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Topics: Legaltech, #Lawyers, Artificial Intelligence

5 Strange and Misunderstood Legal Clauses Explained

Posted by Cian on Jan 12, 2016 11:06:27 AM

 Refer to Beagle’s blog for a continuing series on contract support, as we discuss legal urban legends, simple language, and the odd variety of legal commitments that pass just under your nose.


‘Terms & conditions’ appear ubiquitously in our use of products and services online– and too often, we swallow legal agreements without fully understanding what they say.


The focus of legal terms and conditions is to limit the liability of the provider, and to specify the nature of what a user can and cannot do. Terms of Use;  Terms and Conditions; Acceptable Use Policy; and End User License Agreements are each ways to describe legal rights and limits. They are the most common (and most misunderstood,) of the contracts in our day-to-day life and they use a carefully selected language.

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Topics: LegalX, Beagle, Legal Industry, Legaltech