Non-disclosure agreements (NDAs) are some of the most commonly drafted agreements at any company. While they may be common, however, that doesn't mean they're unimportant – in fact, they're critical to protecting a company's business strategies and trade secrets. Most companies use the same form NDA in almost every situation, changing only party names and the description of the confidential information involved, leaving the rest of the agreement to a series of standard terms. This means that, even though they're important, NDAs are very repetitive and routine in terms of drafting. Corporate legal departments have long been bogged down in routine contracts. Preparing NDAs can take up a significant amount of lawyers' time, taking them away from other important work that can bring more value to the organization.

Contract analytics are now a staple of the legal industry. Driven by continuing advances in artificial intelligence ("AI"), contract analytics has changed the way the legal industry thinks and works. It is no longer a question of when the disruption will arrive, but when the legal industry will reach a "tipping point" of growth and development. This will naturally result from multiple legal-tech advances, driven by contract analytics, as well as related technologies, that exert pressure on how legal pros work, which are coming together to create a bigger cumulative effect. While much of this is hard to predict, the tipping point is coming into sharper focus every day.

Artificial Intelligence (AI) is changing the way law is being practiced. One of the areas where AI, and more specifically Machine Learning (ML) has been making great strides recently is contract review. The progress is not even limited to reviewing contracts: automated contract generation, negotiation, e-signing and management are fast becoming a reality. Using AI for contracts is the result of an ongoing evolution. Ever since lawyers started using word processors, they have tried to automate the process of creating contracts.