[tucros3141]

Having worked in e-discovery for many years, "exponential improvements" is a huge overstatement. What they have is in pretty much any e-discovery product on the market.

And they are missing a huge piece--predictive coding and advanced analytics (email threading and near-dup are EXTREMELY common). If you are in NLP, ML and/or IR, the legal industry is probably one of the most exciting places to be. Huge datasets, available annotators and tons of money. It's a red-hot lab of state of the art techniques being tried in the real world instead of on the Reuters, 20-newsgroups, Enron, and other "canned" datasets.

[jonstewart]

The other thing is that lawyers don't get re-trained. Relativity has won the current generation of lawyers, and Relativity is a good product (unlike the products it replaced, Concordance and Summation). It will not be easy to displace.

[jonstewart]

On the research end of things, NIST's TREC has a legal track, and that's probably the best place to look for what's happening in the "applied research" space of the field.

[tucros3141]

TREC HAD a legal track. It's a shame it hasn't been done in 3 years.

[bcbrown]

Do you know of any companies doing that in the Seattle area?

[lyagusha]

Interesting. What type of advanced analytics do you mean?

[tucros3141]

Any and everything to do with text analytics so that lawyers can find relevant documents faster. Concept searching (LSI, LDA, other topic models), query expansion, clustering, network analysis (emails), etc.