THE SEPTEMBER 21ST WEEKEND "BONG" REPORT 
FROM JONATHAN MAAS:

Our lead story: 

"AI-driven discovery process produces 
millions of unresponsive documents"

By:
Chloe Demos
Social  Media  Manager

also featuring:

* a selection of upcoming and potentially interesting
live webinars/webcasts selected by Jonathan


21 September 2018 (Paris, France) - O ur weekly compilation of Tweets comes from Jonathan Maas who combs through Twitter on a daily basis, just one of his many activities at the helm of the eponymous ...


Yes, among his many activities in the world of managing electronic and hard copy data is his daily collection of articles, posts and sources of information on Twitter in the areas of forensic technology and discovery which he shares via email blasts entitled BONG! which we have distributed to our subscriber base for years.

But it isn't just forensic technology and d iscovery Tweets. Sprinkled throughout there are notes to lighten the pedantic tone of most forensic technology and discovery posts, or provide some knowledge outside the realm of discovery. For instance, the CIA has declassified a bunch of jokes. Here are the best ones ( it's the last item below on our list this week ).


Oh, yes ... why BONG! you might ask. Jonathan explains:

For those outside the UK (or in the UK but without televisions), BONG! is a reference to the main evening TV news in the UK, on which headlines are read out between strikes (bongs) of the now-silent Big Ben, the bell in the Elizabeth Tower (renamed from the Clock Tower in honour of the Queen's Diamond Jubilee) at the Palace of Westminster. You can thank a particularly persistent pedant early on in the life of my BONG! for this rather precise explanation.

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AI-driven discovery process produces 
millions of unresponsive documents




Not all that long ago a new philosophy emerged in the e-discovery industry which was to view e-discovery as a science -- something that is repeatable, predictable, and efficient, with higher quality results and not an art or something that is recreated with every project. Underpinning this transformation was the emergence of new intelligent technology known as TAR ( technology-assisted review), predictive coding, machine learning, or simply AI. It was a "smarter review tool" meant to mimic and automate the document coding of a human reviewer. This approach was to deliver real results when it comes to controlling the costs of litigation. And given it was "artificial intelligence driven" we'd see perfection. 

Well, not quite. Over the last few years we have reported from the trenches of e-discovery review centers across the country ... the stories of failure after failure of predictive coding software. Just this past Spring we wrote about a TAR project that yielded 1000s of unresponsive documents ... all dutifully "second reviewed", as they were directed, by the team of human reviewers. Hundreds of hours were spent on them until a supervisor noted they were all unresponsive. "Why didn't somebody tell me!!" she screamed across the review room. Well, at $28 an hour (with no OT pay for hours worked after 40), no health insurance, living job-to-job ... ya just stretch out the hours, don't ya?

Side note: it may not belong here, but it's a pet peeve of ours. Contract attorneys are often maligned, sometimes with good cause. But the streets of American cities are haunted by their ghosts, destroyed by the thugs of commerce and technology.  Amid the bacchanal of "legal disruption", let us pause to honor the disrupted. They hover between a decent poverty and an indecent one; they are expected to render the fruits of their labors for little, often next to nothing.  

So ... behold! ... Jonathan found yet another major TAR failure, this one being the TAR used for  In Re: Domestic Airline Travel Antitrust Litigation, the airline antitrust litigation in which American Airlines, Delta, Southwest and United, Delta, and Southwest were accused of colluding to reduce seat capacity in order to fix ticket prices. The piece is from our friends at Logikcull and the author,  Casey Sullivan, notes:

The legal industry has been slow to adopt TAR, and not just because gargantuan MDLs make up only a tiny share of the national docket. The cost, complexity, and potential risk of such processes seem to have prevented their wider adoption. Cases like In Re: Domestic Airline Travel Antitrust Litigation are unlikely to help TAR take flight.

Y ou can read the piece by simply clicking on the following link:    https://maas-bong.io/2PZecYH 

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Now, a few other selections from  BONG!  over the past week ... 

BONG!


Research: Over 80% of lawyers "dislike" lawyers (Legal Cheek)


BONG!


Walmart's in-house counsel tells how the retail giant is changing its legal ops (Corporate Counsel)


BONG!


First UK enforcement action under GDPR and the new Data Protection Act (Mishcon de Reya) 

BONG!


AI: there's a reason it's so bad at conversation (The Conversation)



BONG!


Preparing tomorrow's workforce for the Fourth Industrial Revolution (Deloitte)


The CIA has declassified a bunch of jokes. Here are the best ones (National Post) 

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The following is a selection of upcoming and potentially interesting live webinars/webcasts that Jonathan collects. I f you have an upcoming event and want to promote it,  email Jonathan at [email protected]


26 September
Hold on - get a grip on conducting effective legal holds (XDD) https://maas-bong.io/2MxuaMd 

26 September
Blockchain for commercial litigators (Georgetown Law) 
  https://maas-bong.io/2xiz5an 

26 September
Preparing for litigation before it happens (CloudNine) 
Data theft by departing employees: A bigger threat than hackers 
 (ACEDS / BIA) 
  https://maas-bong.io/2xwuQI4 

3 October 
Debunking the top 10 myths of document review (HaystackID) https://maas-bong.io/2N2Epse 

23 October 
Internal investigations in today's connected world (ACEDS / AccessData) https://maas-bong.io/2xv3an1 



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