The use of artificial intelligence is all the buzz right now. From Microsoft Bing’s use of OpenAI’s ChatGPT to Google’s Bard AI Chat Bot - the topic of responsible use of artificial intelligence continues to trend. To add to that, generative artificial intelligence (a useful AI technology feature that generates human-like content) is being reviewed extensively - not only from a usability perspective, but from a legal work standpoint.
Hello, and welcome to the "Jungle of Business Contracts" - where we tame the wild beasts of contract portfolios, deals, counterparties, and internal processes with the shepherd’s crook of legal technology. Today, we are going to embark on an expedition into the dense thicket of contract auditing. By the time we're finished, you'll be navigating this jungle like a panther - agile and confident.
Conversations about artificial intelligence in a business setting are important. According to a study performed by MIT Sloan Management Review, over 80% of organizations see AI as a vehicle for strategic opportunity. Additionally, 85% of organizations view AI as a means for competitive business advantages.1
This interest in – and implementation of – AI applies to legal teams and other contract managers as well. Manually managing and reviewing an ever-increasing number of contracts of varying complexity is stressful and inefficient. But it does not have to be.
Organizations can improve contract review with AI-powered contract management software.
Managing contracts can be challenging for legal, procurement, and contract management professionals, especially when primarily relying on manual processes.
Managing the contract lifecycle can prove difficult with spreadsheets, emails, filing cabinets, and other disparate tools.
Contract lifecycle management requires careful planning, the right technology, a well-planned contract strategy, and holistic contract lifecycle automation processes. Thankfully, robust contract management softwarewith a foundation of AI and machine learning can help automate contract lifecycle management processes.