Inside Hence, A Tech Company Building Solutions for Global Companies from the Heart of Rwanda

IGIHE

Subscribe: https://www.youtube.com/IgiheTV?sub_confirmation=1 Facebook: https://web.facebook.com/igihe DailyMotion: https://www.dailymotion.com/igihetelevision Twitter: https://twitter.com/IGIHE Instagram: https://www.instagram.com/igiheofficial Flickr: https://www.flickr.com/photos/igihepictures/ Website: http://igihe.com/  #IGIHE #Rwanda

Transcript

00:00 [MUSIC PLAYING]

00:02 Hi, I'm Nancy.

00:03 Hey, it's Arun here.

00:05 And welcome to Hens.

00:06 We'll take you on a tour of our offices.

00:08 [MUSIC PLAYING]

00:11 Hens is a technology company based here

00:19 in Kigali, Rwanda that seeks to create

00:22 a fair, efficient, and transformative knowledge

00:24 economy for people everywhere.

00:26 What that means is that we're building technology

00:29 that allows companies to make better decisions about which

00:33 lawyers at the moment they should be using so that they

00:36 can save money, they can select better, and get more value out

00:41 of their lawyers.

00:42 Yeah, so the technology that we're building

00:44 is a single platform.

00:46 And what that platform does is it integrates data

00:49 from a variety of sources--

00:50 your existing company data, the publicly available information

00:54 out there, and everything that's in your head.

00:57 It captures that in a single system

00:59 that allows you to easily maneuver, search, filter,

01:04 and find the information you need much more easily.

01:07 As a company, we realize that the legal space is something

01:11 that has not been tapped into.

01:13 And because of that, we want to be

01:14 able to build a solution that not only is

01:17 built from the continent, but is mostly targeted

01:21 towards the global economy.

01:24 So because of that, the legal frame

01:26 seems to be the one that we want to tackle and take care of

01:30 at this specific moment.

01:32 And so far, it's really going well with the data.

01:35 And of course, we're using AI to back that up as well.

01:39 When we were initially building out the company,

01:42 we talked to executives at the largest companies in the world.

01:46 And the pain point was very, very clear with legal.

01:50 People were spending billions of dollars,

01:52 hundreds of millions of dollars on legal,

01:54 and felt like they were constantly being ripped off

01:56 by their lawyers.

01:57 They didn't know who they should be using for specific cases.

02:01 And so time and time again, it felt like that problem

02:03 was very clear.

02:04 So we decided we would go ahead and build a solution for that.

02:07 Considering the Rwandan market, one thing

02:14 that we have noticed as a challenge

02:16 is most people use referrals when it comes to either law

02:19 firms or lawyers.

02:21 And because of that, that's something

02:22 that we want to be able to tap into and help people

02:24 understand, hey, these are the lawyers that you

02:27 can use with this specific area.

02:30 And because of that, that's also something that keeps growing.

02:34 Because within the Rwandan market and African market,

02:37 the way the law area hasn't grown as much

02:42 as we've seen globally.

02:43 And that's also something that we

02:44 want to be able to contribute to,

02:47 to be able for people to have that space to work around.

02:52 So the main problem that we face,

02:55 that we see that companies and organizations face,

02:58 is that often they're using a lot of different lawyers,

03:02 a lot of different cases, a lot of matters.

03:04 And they don't really know who is

03:06 good for which kinds of things.

03:08 They maybe know it in their head.

03:09 Someone has it in their head.

03:11 But then if that person leaves the company,

03:13 that information is lost.

03:15 So we help build a single source of truth

03:17 that allows you to better understand

03:20 who is good, who is not, evaluate them quantitatively,

03:24 and also have access to more lawyers, more people,

03:28 that you would otherwise not consider using.

03:30 So it's really about helping people make decisions better

03:35 through more data and through a better source

03:39 of understanding.

03:41 (upbeat music)

Category

Transcript

Recommended