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David Gingell

Article 50: And What It Means for Your Contracts

Written by David Gingell on Mar 21 2017

And so we’re off - the train is leaving the station and cannot turn around. The tracks are laid down, and although the points may change and the train may veer to the left or right, the destination will certainly be a long way from its starting point.

Tim Norman

Speed and agility trump perfection in today’s hyper-competitive and highly regulated business world

Written by Tim Norman on Mar 16 2017

I’ll wait till the next version thanks…

I am constantly struck by how people have a skewed take on accuracy, efficiency and what is “good enough”. In my experience, we all too often reject the offer of a good or service that will provide real benefit now whilst waiting for the nirvana of 100% believing erroneously that anything less than perfect is a risk. In fact, we are losing benefits whilst we wait for the perfect moment. Further, we over-estimate the accuracy and efficiency of existing processes so maintaining the less than effective status quo.

Not perfect, but look at the alternative

David Gingell

Ringfencing: More Expressive Than Glass-Steagall and Just as Profound

Written by David Gingell on Mar 14 2017

Back in 1933, a banking act was passed in the US which mandated the separation of the commercial and the investment interests of US banks. This was in response to the 1929 stock market crash, where contagion from the universal banks’ failures in securities dealing had seeped into their commercial and retail arms. A financial disaster occurred the like of which has not been seen since — although some may argue the 2007/2008 global financial crisis eclipsed it, but many feel it is too early to tell. What is clear is it took more than a decade for the US to recover from the crash of ‘29.

Machine Learning

Deep Learning - War Stories

Written by Machine Learnin... on Mar 09 2017
Authored by Svetoslav Marinov, PhD, Aron Lagerberg, PhD, and Jacob Sznajdman, PhD

With the recent upsurge in success stories about Deep Learning (DL) and the availability of both cheap hardware and open source software libraries, the general impression is it is easy to apply deep learning techniques to just about any problem and succeed by using generic, off-the-shelf methods. This is not usually the case.

The last blog from the ML team here ended with a famous quote from Sun Tzu:

GDPR: Bringing Dark Data into the Light Age

Written by Christina Wojcik on Mar 07 2017

In most areas of the world, there are legislative rules and regulations for how companies must protect and manage personally identifiable information (PII), such as passport information, credit card and banking information and healthcare information. These laws have been inconsistent and have varied widely in the level of data protection they mandate, but it had not been a major concern as breaches of PII were relatively rare.

Creating a Contract Discovery and Analytics Platform

Written by Brian Wick on Mar 03 2017

There are many new entrants into the field of Contract Discovery and Analytics. This includes a recent announcement from a CLM vendor about their own ML-based system for extracting data from contract documents prior to loading into their CLM repository.

We like seeing companies entering our space as it acknowledges the significant demand for our software. But what doesn’t come through in the messaging of these new entrants is real clarity about their technology and capabilities, and the difficulty of what we are doing. At Seal, we’ve learned that providing a truly practical and effective platform for accurate and scalable contract discovery and analytics takes years of hard work.

David Gingell

Welcome Apttus!

Written by David Gingell on Feb 27 2017

Many years ago, our founders were trying to work out why contract lifecycle management (CLM) systems were not delivering the return on investment the marketing literature was claiming. A clear weakness was in the static nature of the contracts themselves. The create, redline, review and approval processes were all driven by workflow and the library services allowed version control and entry of tags or metadata. To make the contracts come alive and to be useful for searching, they depended on quality metadata, principally added at the time of contract creation. This rarely happened. One would be lucky to find anything but the most basic metadata being applied and the idea of search being in any way contextual was a pipedream.

David Gingell

AI for Real World Applications

Written by David Gingell on Feb 23 2017

Artificial Intelligence (AI) is hot right now, hotter even than the Internet of Things (IoT). In Gartner’s vernacular, elements of AI are at their "peak of inflated expectations" on what they call their “Hype Cycle for Emerging Technologies”. Smart Robots are up there together with Machine Learning and Cognitive Expert Advisors.

New Leadership for Seal

Written by Ulf Zetterberg on Feb 16 2017

Throughout my career, I’ve learned the most important aspect of managing and growing a successful business is to surround yourself with great people. For that reason, I am very pleased about our announcement today of two new critical hires for our company. Both are seasoned executives who will be instrumental in taking Seal to the next level.

Manual review of contracts: doing the same thing over and over, expecting different results….

Written by Mark Williams on Feb 15 2017

Back in 2013, when Seal was just getting started, we were invited by a partner into an opportunity with a tier one bank in London. The bank had an urgent, compliance-driven project to pull around 15 pieces of metadata from 25,000 procurement contracts. The partner wanted to use Seal’s platform to do the heavy lifting of automatic extraction, and provide a review platform to manage and optimise the manual review for the last few percentage points of accuracy required.