Legaltech startup conference: Difference between revisions

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We define a [[legaltech start-up conference]] as “opportunities for [[Reg tech entrepreneur|fantasists]] to meet the [[General counsel|credulous]] to flog them [[Legal tech landscape|stuff they don’t need]] out of [[When budget allows|budgets they don’t have]]”.  
We define a [[legaltech start-up conference]] as “opportunities for [[Reg tech entrepreneur|fantasists]] to meet the [[General counsel|credulous]] to flog them [[Legal tech landscape|stuff they don’t need]] out of [[When budget allows|budgets they don’t have]]”.  


At the bottom of this page is an interesting task for the [[neural network]] to parse: the ''two hundred and seventy-seven'' (277) [[vendor]]s listed in the Legal Geek “Startup Map”<ref>I am not making this up: https://www.legalgeek.co/startup-map/. There could be more: the bamboozling way it is set out made it hard to be sure I had go them all.</ref>  
At the bottom of this page is an interesting task for the [[neural network]] to parse: the ''two hundred and seventy odd [[vendor]]s listed in the Legal Geek “Startup Map”<ref>I am not making this up: https://www.legalgeek.co/startup-map/. There could be more: the bamboozling way it is set out made it hard to be sure I had go them all.</ref>  


Now, sure: not ''all'' of these are ''for-profit'' businesses (by which I mean ''intending'' to make a profit; a large portion of them, however well disposed to that idea, ''won’t'') — there are some, even at a quick scan, that don’t even try. And some are, ''sans doubte'', unique and different. But they are the great minority.
Now, sure: not ''all'' of these are ''for-profit'' businesses (by which I mean ''intending'' to make a profit; a large portion of them, however well disposed to that idea, ''won’t'') — there are some, even at a quick scan, that don’t even try. And some are, ''sans doubte'', unique and different. But they are the great minority.
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====1. Consolidation is coming====
====1. Consolidation is coming====
Perhaps the sector is simply overdue for the consolidation that will push a couple of winners into the mainstream. The 277 are all good little ideas but, un-knitted, too tepid to get anywhere. Once the power of affiliation dawns on the founders of the dozens interchangeable [[contract automation]] tools and they pool resources, expertise and clients, then an apex predator might emerge.  
Perhaps the sector is simply overdue for the consolidation that will push a couple of winners into the mainstream. There are 270-odd undoubtedly good little ideas but, un-knitted, too tepid to get anywhere. Once the power of affiliation dawns on the founders of the dozens interchangeable [[contract automation]] tools and they pool resources, expertise and clients, then an apex predator might emerge.  


One or two vendors have done this half-heartedly, but in the main, we are still on the frontier, where footloose imagineers can pursue their crazy dreams. ''This can’t last''.   
One or two vendors have done this half-heartedly, but in the main, we are still on the frontier, where footloose imagineers can pursue their crazy dreams. ''This can’t last''.   
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But, simplifying is hard: it takes deep expertise, risk-awareness, a sense for psychology and market experience. The [[legal eagle]] [[paradox]]: the more expertise you have, the less inclined you are to simplify. ''Mastery of the ineffable is your unique selling point''.
But, simplifying is hard: it takes deep expertise, risk-awareness, a sense for psychology and market experience. The [[legal eagle]] [[paradox]]: the more expertise you have, the less inclined you are to simplify. ''Mastery of the ineffable is your unique selling point''.


But there is, too, the legaltech paradox: just as the [[meatware]] is disinclined to simplify, ''so is legaltech''. Of the 277 offerings below, how many dedicate their machine learning, NLP, neural networks and artificial intelligence to ''making things simpler''?
But there is, too, the legaltech paradox: just as the [[meatware]] is disinclined to simplify, ''so is legaltech''. Of the offerings below, how many dedicate their [[machine learning]], [[natural language processing]], [[neural network]]s and general [[artificial intelligence]] to ''making things simpler''?


=== On inhouse versus private practice===
=== On inhouse versus private practice===
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*Corporify <br>
*Corporify <br>
*Courtsdesk <br>
*Courtsdesk <br>
*Crafty Counsel <br>
*CrowdJustice <br>
*CrowdJustice <br>
*Data Solver <br>
*Data Solver <br>
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*InTouch <br>
*InTouch <br>
*iubel <br>
*iubel <br>
*Juralio <br>
*JuriBlox <br>
*JuriBlox <br>
*Juriosity <br>
*Juriosity <br>
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*Logical Construct <br>
*Logical Construct <br>
*Made in law <br>
*Made in law <br>
* MaitreData <br>
*MaitreData <br>
*Majoto Lab Limited <br>
*MaNewCo <br>
*MaNewCo <br>
*matters.Cloud <br>
*matters.Cloud <br>

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