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3 min read

Now Live: Similarity Terms in LinkSquares Analyze

Today we announce Similarity Terms in Analyze, functionality that allows you to create AI-assisted terms in minutes to track language unique to your business.

As AI continues to evolve, it’s becoming an indispensable tool in our everyday lives. We understand you need ways to autonomously track any language you want. And we know there will always be cases where you want to track specific language that out-of-the-box AI can’t identify since it’s so niche or lacks enough training data. 

While you can surface language using content search or even work with our dedicated Data Science team to create Custom Smart Values, there are times when you need answers fast and on your own timeline. That’s why we created Similarity Terms. 

Similarity Terms brings the power of AI to your fingertips, letting you instantly search and track alike clause language across your repository. Simply enter an example of clause language and LinkSquares AI will handle the rest.

Similarity Terms

From there, Similarity Terms mimics the behavior of our traditional AI models. They’re automatically extracted when new agreements are added to your repository. You can build reports, export their results, and even add them to your homepage layout for easy access. Never miss the language you care about again. 

With Similarity Terms:

  • Improve efficiency by creating custom terms you can track solo, without the hassle of coordinating with in-house development teams.
  • Save time by leveraging AI to track language unique to your business needs. 
  • Reduce risk by identifying non-standard language so you can easily assess what needs to be amended. 

Ready to get started? Speak with your CSM today to enable this feature. Not a LinkSquares customer? Learn more here. 

Curious about what else we can help with? Reach out to your CSM or request a demo today! 

Colleen Matthews is a Product Marketing Manager at LinkSquares.