It's typically not a matter of having the documents, it's a matter of filtering them.
Suppose you have a corporate mail server with all your mail on it, and a competitor sues you. Your emails are going to be full of trade secrets, prices negotiated with suppliers, etc. Things that are irrelevant to the litigation and can't be given to the competitor. Meanwhile there are other emails they're entitled to see because they're directly relevant to the litigation.
What option do you have other than to have someone go read ten years worth of emails to decide which ones they get?
> Whats really the difference between taking 2+ years to procure a document and deleting that document?
The difference is obviously that they get the document in the 2nd+ year of the trial instead of never.
>What option do you have other than to have someone go read ten years worth of emails to decide which ones they get?
This funnily enough sounds like the exact use case of AI in streamlining timely, tedious, but important matters. Now the that someone simply needs to verify that the filtered documents are relevsnt.
Of course, I'm assuming a world where AI works on this scale. Or a world where this slow walking discovery isn't a feature for corporations.
> The difference is obviously that they get the document in the 2nd+ year of the trial instead of never.
Yeah, after using that year to make billions of dollars. That's how the current AI litigation is going. Once again by design. Pillage until the cows come home in 5-6 years.
As someone who has built an e-discovery platform I can tell you that any delays these days are because they are helpful to minimize negative employer cash flow. In other words, exactly why corporate lawyers are paid.
The technology for legal review is extremely fast and effective.