Gregory Mostyn
speaker
336 appearances
1 recordings
1 series
first heard Jun 2026
last heard 29 Jun
Gregory Mostyn’s voice in public audio — every appearance, attributed to the second.
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recordings per month · last 12 monthsRecordings per month over the last 12 months — 1 in all, peaking in Jun 2026 with 1.
Appearances
volumes.
And now we've got AI, which can generate anything basically instantly.
A lot of it is sort of slop that's irrelevant or is homogenized or whatever it is.
So I think one of the main challenges we're solving is this kind of information overwhelm and trying to find the kind of winning thread when there's just so much data to draw through.
So I think that's a kind of key point.
I think another thing is like as
the doc review tasks become less important and let's say less valuable because AI is doing them all.
Let's play this forward five years time or maybe that's too far, maybe two years time.
It may not be as much about who can find the killer smoking gun because AI will help to do that.
Obviously, there'll be ways of doing it faster and better, but it's about how you then use that.
And so the kind of human side of practice, so mediations, arbitrations, you know, trials, depositions, I think lawyers, litigators are going to want to prepare for those like an athlete preparing for the big race.
And so AI that can
help you play out different scenarios using the facts training up you know putting someone on the stand having a sort of sparring partner with a judge or arbitrator those are all the things that we're really interested in um that's going to become even more important like the pressure is sort of counter-cyclical it's going to go it's going to be even more important to do a good job on the day and the advocacy part is going to be even more important because
it's going to be less about who can find the killer document or the killer fact it's going to be about how that gets delivered so i think that's a that's a key challenge like an emerging challenge which we're sort of very aware of
First of all, we complement eDiscovery and we integrate with a number of the leading eDiscovery providers.
What we don't do as much is the first level of review, the cull, going from millions of documents to 10,000 or 20,000 or even 100,000 documents.
What we do is we then turn that into actionable case-winning insights.
That means extracting the facts, like I've said, assigning them relevance, and then using that as the unit of analysis.
The thing that we do differently to eDiscovery is the data model of eDiscovery is rigidly built around documents, as you know, analysis.
You know, they say, here's these documents are responsive to these search terms.
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