Bridget McCormack

That inserting a human with her flaws and her biases and her limitations was no way to manage this railroad.

Yeah, I mean, this is where I feel very, very lucky that we have a nonprofit mission, and our mission is to expand access to alternative ways of resolving disputes to as many people as possible.

But we're like a court, right?

We do serve parties, but there's two parties in every case.

There's parties on both sides of every dispute, and we need to make sure both sides, both parties feel satisfied with the dispute resolution process they got.

I thought you were going to say as the cost comes down as a result of even sort of AI automation for parts of disputes or full disputes, depending on the dispute, it's therefore harder for dispute resolution providers who...

who need to make money to make money, um, on that process that, that, you know, that, that, that, that, that would be a problem.

And I can see how it might be, but again, um, really hot, really happy that at the end of the year, I don't have a bunch of owners that are looking for their, you know, profits.

Um, we have a mission.

If we can bring the friction and the cost of,

of dispute resolution services down significantly and therefore offer it to a whole lot more people, we're serving our mission.

Super good question.

As you know –

easier to, um, to, to, to train, uh,

a data set than a human.

So frankly, and let me step back for a minute, in our consumer cases, again, we do not accept cases, consumer B2C cases, unless a business has cleared their clause with our due process protocols.

So we're, again, in a lucky position there, I guess.

But back to the who's in charge, for us, if the consumer feels like

the process wasn't fair, that's not going to work.

You know, we're just not, you know, we're in the business of actually, you know, giving more options to more parties.