Where are Legalpioneers?Where are Legalpioneers? https://i1.wp.com/www.legalcomplex.com/wp-content/uploads/2017/02/Legalpioneer-Where.jpg?fit=1024%2C640&ssl=1 1024 640 Raymond Blijd https://secure.gravatar.com/avatar/08e33d46f1379d84f485e8f78032975c?s=96&d=mm&r=g
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March 8th 2017 Legalpioneer celebrated its one year anniversary with a bang 💥 and launched the second phase of our mission: Legalpioneer Where 📍. The first in our ‘W’ trilogy.
— Legalpioneer (@legalpioneer) March 8, 2017
Our mission was to find and celebrate Legalpioneers everywhere. We wanted to cultivate a community of genuinely passionate people in pursuit of the stories, startups, and stars who support a Fair Society. Then the unexpected happened: it worked! We started with 7 pioneers and aimed to have 250 followers on Twitter within one year. Our community almost hit 500 followers, found over 200 startups, products, and pioneers across the globe and had to pause onboarding after 13 Legalpioneers to focus on the future.
We set to find legal and regulatory startups and we did: 2500+ spread over 91 countries with over $3 billion in funding in 7 categories. We’re adding about 100 startups a month in both the Legal (60+) and Regtech (40+) sectors.
We don’t aim to be the largest database but our goal is to simply be uniquely insightful. That is why we are approaching this project from an inquisitive angle: Where is the activity?
The 3 criteria for inclusion:
- Do startups provide a service that has Legal implications or help you comply with regulations (Regtech);
- Are they private companies;
- Were they founded or funded after 2010,
Who 👥 Next
We’ll launch 2 more projects in the W series: Who 👥 and Why 👁. The first 2 will be regular LegalTech, the last is slated to use machine learning and incorporate deep neural networks. Yes, we’re building for pure AI.
The approach: before feeding the machine massive amounts of unstructured data, we are cooking it a carefully curated dataset. In this way, we aim to ensure our robot gets a well-balanced diet of fairness and empathy.
The intent is to “teach” our robot to locate and categorize companies. We’re test driving algorithms that check if a startup is still operational and plan to extend these to ‘calculate’ which startups will succeed. Eventually, we want our robot to monitor and predict the legal evolution on a global scale. We’ll widen our scope by adding LegalTech products from Law Firms, the Epic list from ProductHunt, CivicTech and Tweets.
So to all Legalpioneers everywhere, please check if your location is added to your Twitter profile and include hashtags: #LegalTech, #LawTech, #RegTech, #TaxTech. We’ll also be on the lookout out for #BrexitTech 😉. Mention @Legalpioneer in your tweet and we’ll find you.
Show your support for a Fair Society and give Where a try
Originally posted on Medium@Legalpioneer