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.
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.
To license a new taxi in London it has to be electric. We're seeing quite a few nowadays.
There's still a huge backlog of diesel cabs but at least it's slightly improving.
New double deckers are hybrid, and all new single deckers are fully electric. Again, big backlog (8000) but give it 20 years. (I wish it could be done faster though)
What’s wrong with 15 yo taxis as long as they are compatible with emission regulations? If they work fine, we should encourage long term cars usage and repairs instead of throwing them away after 5 years.
The emissions regulations of fifteen years ago are much more relaxed than today's, and of course old cabs are measured to the old standard- grandfathered if you will.
If modern emission standards are really important then we should enforce standards but not throw away cars. Maybe old cards are still good enough. Maybe old cars can be tuned/upgrades/switched to another fuel etc. Car age is not important at all, and should not be considered.
So far, these rules aren't enforced against cars in England, only buses and heavy vehicles in London must comply. It's similar in some large cities in Germany and Sweden.
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 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.
Re. Overstating use, far from it. This piece is from 2017, since then adoption of NLP/ML systems has rapidly grown among the leading law firms eg AmLaw 100 and UK 100. Even excluding ediscovery systems the use of AI Tech for review work has hugely increased - sufficient to keep a daily blog going just to keep up with all that is happening. Don’t get complacent. Things among larger firms are starting to change.
