DISCO Cross-Matter AI

Imagine if you could take all the learnings from past matters and apply them to your new matters from the start. With DISCO’s cross-matter AI, you can.

Here’s how it works

  • Cross-matter AI models are powered by AI tags from your past and ongoing matters, and can be shared across your organization.
  • You can use these shared models to kickstart tag predictions for your new matters as soon as you spin up a new case.
  • The tagging signals from any of your linked matters can be fed back into the shared models, so your models continually improve.

Faster review and higher accuracy for...

(Just some examples)

Practice group tags

Whether your practice group focuses on labor law or intellectual property, create shared models for tags you set up routinely and begin every case with a head start on your document review.  


Why have your AI learn privilege from scratch with every new case? Create a shared model powered by all of the matters from each of your clients so you can start identifying privilege documents faster.


Tired of reviewing iTunes™ receipts and spam emails? Create a robust shared model for junk — powered by millions of signals from across all of your cases — and flag junk at the beginning of each matter.


Whether your team deals with lots of contracts, financial statements, leases, or invoices, create shared models for your common document types and let DISCO AI start sorting your documents from the get go.

Want to know more about DISCO AI?

Cross-matter AI runs on DISCO AI, which employs continuous learning to help you find the documents you are looking for faster. Much like recommendations on Netflix™, DISCO AI identifies similar characteristics of the documents you tag and bubbles up more documents like them. DISCO AI’s tag predictions get smarter with every tagging decision you make.

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