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New infographic designs the right solution

Ama Zbarcea, Founder & CEO at Opsygen, UK

Posted by Ama Zbarcea, Founder & CEO at Opsygen, UK
Sep 30, 2021 8:21:49 AM

As technology advances and we are dazzled by Artificial Intelligence (AI) robots that can do lots of fancy things, many companies are still struggling with managing shared folders and Excel spreadsheets.  Don’t get me wrong, I love fancy technology as much as the next person (probably more), but in reality, so many people and companies haven’t yet mastered the basics.  And that’s ok.  It’s not too late to start.

ai NEGOTIATION CYCLES mapping INFOGRAPHIC

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Contract quality and AI: garbage in, garbage out?

Helena Haapio, Contract Strategist and Associate Professor of Business Law & Daniel W. Linna Jr., Director of Law and Technology Initiatives and Senior Lecturer

Posted by Helena Haapio, Contract Strategist and Associate Professor of Business Law & Daniel W. Linna Jr., Director of Law and Technology Initiatives and Senior Lecturer
Aug 31, 2020 7:44:54 PM

Artificial Intelligence (AI) is poised to disrupt the way we draft, negotiate, review, and perform under contracts. AI has already significantly impacted the contracting process.1 Some say the primary obstacle to tremendous advances in AI for contracting is the lack of training data. We argue that the problem is not data quantity, but rather data quality. To make the most of AI for contracting, we must make sure we do not create “garbage in, garbage out” AI systems.

ai artificialintelligence

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Standardized, industry solutions make contracting easy

Chase D'agostino, Associate Vice President of Corporate Solutions and Strategic Growth at QuisLex

Posted by Chase D'agostino, Associate Vice President of Corporate Solutions and Strategic Growth at QuisLex
Jun 2, 2020 8:30:49 AM

If you asked me, what is the biggest bottleneck in moving the market to more efficient contract management, I’d have to say this: 

We need to share more information, make things easier and move toward industry standardization – without back peddling to rebuild what is already working well.

CLM implementation workflow ai

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