HeadInTheClouds

With respect this is a fairly daft comment

Actually I also liked the way each iteration built on the previous concept. Having the full code at each step adds a lot to the length, but for beginners, this is really useful.

As a general point, I totally agree with this. The Enron dataset released over ~15 years ago is still used by EDiscovery and other legal vendors along with other researchers.

There have been a huge number of papers using this dataset and there are not many other datasets of its type or size available and despite its age is one of the best we have. If people are aware of legally released datasets with a similar size and content I would be interested to hear about them.

Yes, I think it's £11.50 a day, but that is only from a quick Google. To be honest it's probably not high enough to put enough people off who want to drive and park in c.london.

Anecdotally, however, I think there is a huge number of delivery/construction vehicles along with Black Cab/Uber taxis etc that seem to make up the majority of the car traffic in Zone 1 (Central area).

I wish London would follow this example, I fear however that the press would whip up an outrage. Public transport in Central London is excellent. I have not felt the need to have a car after 20+ years of living here. The situation is obviously very different in rural areas.

It would also be great to upgrade all Taxi's and buses to fully electric as well.

I think that AI/Machine learning has made a big impact on the Ediscovery part of the legal industry. The use of ML commonly known as Predictive Coding does appear to reduce the number of hours required to find relevant documents in a large corpus.

There is a lot of noise about the use of AI in other areas of law, but I suspect (in common with other industries) this is just part of the hype cycle. That is not to say that the use of AI is not on the rise, but the article likely overstates its use.