INSUBCONTINENT EXCLUSIVE:
Applying the technology requires thought and dedication, especially with legacy industries like law and insurance, which are being taken on
in this way by Luminance and Omnius respectively
uses AI and natural language processing to help law firms process documents more quickly, not replacing the lawyer but providing additional
intelligence and analysis of what may be hundreds or thousands of pages and saving time and money
Omnius applies AI not just to the text of insurance claims, but to the process of handling them, ensuring rapidity not only in
documentation but in results like payouts.Omnius has raised about $30 million in multiple small rounds and grants, while Luminance has
chose these industries, and why now? After all, law and insurance are notoriously old-fashioned, some would even say backwards in many ways
How could they be sure this was an opportunity, and not a folly?Emily Foges (Luminance): It had more to do with the capabilities of the
We started with technology that can read a lot of language, and then we looked at what industry would benefit most from that
It was that way around.I think the timing is 80 percent of the battle; The fact that the legal profession had got to a point of being ready
to accept the use of that kind of technology was more luck than anything
We started on a horizontal level, with deep document understanding, and at some point we understood, if you really want to ship business
which area is the biggest that is not transformed yet? And do we see decision makers aware of the of the need to do something? And do they
have money?The insuretech world is of course making a lot of pressure, all the new insurance companies like Lemonade, WeFox, Coya, because
they claim to settle a claim in minutes
So the big guys like Alliance, they got nervous
And on the other hand you see, on the technology side, improvements in the areas of computing power, way more access to data, more flexible
These domains, and some companies, that have existed for decades or even a century or more
That means legacy systems and legacy people, to put it kindly, that may not be amenable to change
Emily had some surprising stats on that, while Sofie advocated an AI-like approach to classifying and selecting clients.Emily: Some of them
The interesting thing was the most ready people were the law firms outside of the UK, outside of the US
It was European law firms, APAC-based law firms, South and Central American law firms who got on board first
They were more ready because to be honest, the commercial pressure was greater
And then the pressure on the US and UK law firms came from them.
This is something I can really recommend for every startup trying to
transform an industry from scratch: classifying your customers
We had 16-17 criteria, how we defined the companies we really want to spend time with. Sofie: We thought, cool, the transformation is
But after a while, 2018, we were like, okay, this market is not moving as fast as we thought
We looked at our proof of concept, our pilots we did with insurance companies and were like, wow, every big insurance company in Europe
every startup trying to transform an industry from scratch: classifying your customers
