2 min read

Fringe Legal #14: machine learning resources / inflection point / Joshua Walker

If you're in the US, I hope you had a good Labor Day weekend. If you are elsewhere in the world, I hope you've have a good start to the week.

Here are 3 things that were worth sharing.


How has COVID-19 impacted the rate of adoption of digital transformation projects? This article in the Law Gazette (UK) examines the rates of infection.

There are clearly major challenges ahead, but one way in which Covid-19 is a positive inflection point for legal technology is that it has forced law firms to recognise that digital transformation is their key to the future. Digital transformation is an iterative process, and right now it is perhaps less about incremental change than deciding which Covid-driven changes will become part of business as usual and unlocking new opportunities in an unpredictable business environment.

Read the full article here



On Friday, I sat down with Joshua Walker as part of Fringe Legal Edge. This was an awesome interview, and the allotted 30 minutes was not enough, so we will be speaking again for part two soon.

During the conversation we covered AI, the transfer of innovation, Joshua's experience of selling a SaaS solution in the midst of an economic crisis (2009), and the mathematics of impact and how that equates (or not) in law.

You can watch the full episode here (30 minutes)



As I mentioned last week, I've been spending a little time learning about artificial intelligence. A post by Alistair Wye on LinkedIn put this amazing resource on my radar.

This is a roadmap, created by Daniel Bourke, which dives deep into a tonne of resources if you're getting started with understanding and/or learning machine learning.

The full expanded roadmap covers hundreds of items from problems, to mathematics, to tools and learning resources. This is one I've bookmarked and will revisit.

Explore the full roadmap

Until next time. Stay well.


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