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France Bans Judge Analytics, 5 Years In Prison For Rule Breakers

‘The identity data of magistrates and members of the judiciary cannot be reused with the purpose or effect of evaluating, analysing, comparing or predicting their actual or alleged professional practices.’

As far as Artificial Lawyer understands, this is the very first example of such a ban anywhere in the world. Insiders in France told Artificial Lawyer that the new law is a direct result of an earlier effort to make all case law easily accessible to the general public, which was seen at the time as improving access to justice and a big step forward for transparency in the justice sector.

However, judges in France had not reckoned on NLP and machine learning companies taking the public data and using it to model how certain judges behave in relation to particular types of legal matter or argument, or how they compare to other judges.

In short, they didn’t like how the pattern of their decisions – now relatively easy to model – were potentially open for all to see.
censorship  france  analytics  judgements  legal  judges  statistics 
6 weeks ago by jm
‘I Wish You Bad Luck,’ He Said With Good Intentions
Dec. 28, 2017 | WSJ | By Bob Greene.

In Spring 2017, Chief Justice John Roberts delivered a commencement address to his son's grade 9 graduation ceremony that offered a universal lesson about the value to be found in generosity of spirit. Roberts prepared the advice offered in his speech specifically for the commencement address, as he set out to reflect upon “some of the harsh realities that everyone will face in the course of a full life,” and how to anticipate them and learn from them....His speech was structured in pairs.....He told his audience that commencement speakers will typically “wish you good luck and extend good wishes to you. I will not do that, and I’ll tell you why.

“From time to time in the years to come, I hope you will be treated unfairly, so that you will come to know the value of justice.

“I hope that you will suffer betrayal, because that will teach you the importance of loyalty.

“Sorry to say, but I hope you will be lonely from time to time so that you don’t take friends for granted.

“I wish you bad luck, again, from time to time so that you will be conscious of the role of chance in life, and understand that your success is not completely deserved and that the failure of others is not completely deserved either.

“And when you lose, as you will from time to time, I hope every now and then your opponent will gloat over your failure. It is a way for you to understand the importance of sportsmanship.

“I hope you’ll be ignored so that you know the importance of listening to others, and I hope you will have just enough pain to learn compassion.

“Whether I wish these things or not, they’re going to happen. And whether you benefit from them or not will depend upon your ability to see the message in your misfortunes.”

Also,......“Once a week, you should write a note to someone. Not an email. A note on a piece of paper. It will take you exactly 10 minutes.” Then, Roberts urged, put the note in an envelope and send it off the old way: via the mail.

The handwritten note, he said, might express appreciation for someone who has helped you out or treated you with kindness, and who may not know how grateful you are.........here’s a toast to bad luck, and to its hidden gifts. First, though, the corner mailbox awaits. Gratitude is priceless, but conveying it costs no more than a postage stamp.
advice  betrayals  chance  commencement  compassion  counterintuitive  failure  friendships  gratitude  handwritten  inspiration  John_Roberts  judges  justice  life_skills  listening  loyalty  luck  pairs  speeches  sportsmanship  teachable_moments  tough_love  U.S._Supreme_Court  values 
7 weeks ago by jerryking
Trump’s federal judge pace matches recent presidents — but with a big twist
According to the Administrative Office of the U.S. Courts, going back to Jimmy Carter, no other chief executive had as much judicial success — in terms of quantity — in his first two years in office as Bill Clinton.

The big leagues in the judicial system means the Supreme Court and the appellate courts. There’s no question that President Trump has been incredibly effective at putting people on the appellate courts — in fact, he’s gotten more than twice as many appeals court judges than most of the other presidents,” Rom said.
Only the 3rd U.S. Circuit Court of Appeals has flipped from a Democrat-appointed majority to a Republican one during Trump’s tenure, but “the Trump circuit appointments have strengthened Republican-appointee majorities on four courts that already had such majorities — those of the 5th, 6th, 7th, and 8th circuits,” according to Wheeler.
TrumpAdministration  judges 
10 weeks ago by HispanicPundit
Trump struggles through White House event with NATO secretary - Vox
Donald J. Trump has gone next level insanity! :O
.. now he wants to get rid of judges :/
trump  judges  rid 
april 2019 by zyron
Big data: legal firms play ‘Moneyball’
February 6, 2019 | Financial Times | Barney Thompson.

Is the hunt for data-driven justice a gimmick or a powerful tool to give lawyers an advantage and predict court outcomes?

In Philip K Dick’s short story The Minority Report, a trio of “precogs” plugged into a machine are used to foretell all crimes so potential felons could be arrested before they were able to strike. In real life, a growing number of legal experts and computer scientists are developing tools they believe will give lawyers an edge in lawsuits and trials. 

Having made an impact in patent cases these legal analytics companies are now expanding into a broad range of areas of commercial law. This is not about replacing judges,” says Daniel Lewis, co-founder of Ravel Law, a San Francisco lawtech company that built the database of judicial behaviour. “It is about showing how they make decisions, what they find persuasive and the patterns of how they rule.” 
analytics  data_driven  judges  law  law_firms  lawtech  lawyers  Lex_Machina  massive_data_sets  Moneyball  predictive_modeling  quantitative  tools 
february 2019 by jerryking

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