• The big accounting firms are generally faster than law firms to embrace new technologies, including AI, in their legal practices, so announcements like this by PwC should concern law firms.

 

  • From Quinn Emanuel, “International Arbitration and Artificial Intelligence: Time to Tango?” “Could the future of IA lie in AI? In this short post, I sketch possible ways in which AI-infused tools could help the international arbitration community provide greater value to stakeholders.” Several reasonable scenarios are put forth, but there’s a catch if the author is correct when he writes, “AI decisions must be explainable and cannot operate as a ‘black box’.”

 

  • From Norton Rose, this summary of the ethical and legal issues involving AI.

 

  • In this post, Freshfields explains how they leveraged AI tools from LEVERTON to facilitate a big real estate deal.

 

  • Here, from Artificial Lawyer and Seal Software is an explanation of the workings of Smart Contracts, and perhaps the next step in the evolution of contracts, “Intelligent Contracts.” (Smart Contracts 3.0?)

 

  • Also from Artificial Lawyer: “… Integra Ledger, has … announced the release of an Integra Wallet, which the company says is the first blockchain wallet developed specifically for the use of the global legal industry.”

 

  • From Asia, some disturbing thoughts about AI and the lack of US leadership, “President Donald Trump’s isolationist instincts mean the U.S., a traditional cheerleader for global cooperation, is making almost no effort to lead international efforts to think through AI’s future. Instead, AI’s global standards increasingly look set to be written behind closed doors in Silicon Valley and Beijing, leaving everyone else outside in the cold…. (S)o far neither the G-20 nor any other major international body has grappled with the problems raised by AI….”

 

 

  • More AI on the road, this time in Japan: “…starting next month, Nissan is trialing a fully driverless taxi service in Japan. Called Easy Ride, the service is essentially an AI-controlled version of a ride-hailing app like Uber.”

 

  • This story arrived in my inbox while I was making a luncheon presentation to a law firm in Toronto. It reports that, “much of the foundational research into artificial intelligence originated in Canada, but we’ll have to work to stay a leader in the field.” It suggests ways to capitalize on that early lead.

 

 

  • From Artificial Lawyer: As Legal Hackathons get underway they need focus to really make a difference. So, from Gillian Hadfield, Professor of Law and Economics at USC, these 10 A2J problems in need of solutions.

 

  • As in cycling where the lead rider makes most of the decisions in a peloton and fights the largest share of wind resistance, so with platoons of long distance trucks. (What does that have to do with AI? I’m getting there.)

From Artificial Lawyer: “In Berlin, legal tech pioneer, Clause, successfully demonstrated a ‘live smart legal contract’ using IoT data … which handled logistics payments for a group of transport vehicles in real time as the audience watched. The amount due was based on the time each truck led the platoon. Payments were then made based on this data, which was executed via a smart contract.

 

Recent studies on the threats posed by AI:

From the Business & Human Rights Resource Center: “(R)eplacing human intelligence with machines could fundamentally change the nature of work, resulting in mass job losses and increasing income inequality. Algorithm-based decision-making by companies could also perpetuate human bias and result in discriminatory outcomes, as they already have in some cases. The significant expansion of data collected and analysed may also result in increasing the power of companies with ownership over this data and threaten our right to privacy.“

 

This report, covered by several international media outlets, The Malicious Use of Artificial Intelligence: Forecasting, Prevention, and Mitigation, with authors from Oxford University’s Future of Humanity Institute; Cambridge University’s Centre for the Study of Existential Risk; OpenAI; the Electronic Frontier Foundation; the Center for a New American Security; and other organizations, “sounds an alarm about the potential malicious use of AI by rogue states, criminals and terrorists. Forecasting rapid growth in cyber-crime and the misuse of drones during the next decade – as well as an unprecedented rise in the use of ‘bots’ to manipulate everything from elections to the news agenda and social media – the report is a clarion call for governments and corporations worldwide to address the clear and present danger inherent in the myriad applications of AI. The report – also recommends interventions to mitigate the threats posed by the malicious use of AI.”

.

 

  • Ron Friedmann recently published and posted this excellent overview of the state of Knowledge Management (KM) in law firms today, and how we got here. Since AI is ‘all about the data,’ it’s very relevant to this blog. Among Ron’s observations: “a whole class of AI products has come to market that helps lawyers work with deal documents and contracts.” A survey is cited showing “AI+Data Science” as the number one priority of large law KM professionals in 2017.

 

  • Vanderbilt will be holding: The Summit on Law and Innovation (SoLI) as part of Vanderbilt Law School’s Program on Law and Innovation on April 30, 2018. Sign up here. “SoLI’s theme of “Building Connections, Breaking Down Silos” brings together top thought and action leaders from legal academia, practicing attorneys, and technologists, to share knowledge, present alternative perspectives, and cross-pollinate ideas. SoLI’s ambitious plenary agenda includes keynote addresses, TED-style talks, dialogues between thought leaders and Summit participants, and a dynamic design thinking bootcamp inviting active collaboration among all attendees.”

 

  • From Corrs Chambers Westgarth: Does Robotics and Artificial Intelligence have a Future in the Healthcare Space? “(T)he concept of a doctorless hospital is not without controversy or concern. How can we ensure that our continued adoption of technology grows sustainably and ethically?

 

  • Artificial Lawyer reports that, “(t)he IEEE, the world’s largest technical professional organisation, and smart contract and blockchain consortium the Accord Project, today announced an agreement to develop ‘techno-legal standards’ that will focus on smart contract applications in a wide variety of areas, starting with supply chain operations.”

 

  • Also from Artificial Lawyer, Dutch AI Start-Up, NDA Lynn, Seeks To Crack Everyday Doc Review. “Non-disclosure agreements (NDAs) are often seen as the most standard of all legal documents, the perfect test case to prove the benefits of natural language processing (NLP) for review purposes in the legal world. But, the truth is not so simple.” If you deal with contracts, this post is worth reading.
  • From Morgan Lewis’ ML Blog: The Ghost in the Procurement Machine: Using AI in the Contracting Process. “AI and machine learning results are an aid to, but of course not a substitute for, human judgment of compliance and risk.”

 

  • From Law.comHarvard/MIT Collaborative Startup Klarity Brings New Blood to Contract Analysis. “Klarity hopes to differentiate itself through specific industry focus. The tool looks primarily at sales-side agreements, like nondisclosure agreements.” “When you focus on the industry vertical, you can go very much in depth; you can streamline.”

“All the competing products in the space have their own [user interfaces] that compete for your time and your screen real estate, whereas we’re just in the background, (integrated with Microsoft Office).”

 

  • Accenture Technology Services has launched an interesting new service powered by a “Teach and Test” methodology “to help companies build, monitor and measure reliable AI systems.”

“The ‘Teach’ phase focuses on the choice of data, models and algorithms that are used to train machine learning. This phase experiments and statistically evaluates different models to select the best performing model to be deployed into production, while avoiding gender, ethnic and other biases, as well as ethical and compliance risks.

During the ‘Test’ phase, AI system outputs are compared to key performance indicators, and assessed for whether the system can explain how a decision or outcome was determined.”

 

  • From Wharton, this interesting and enlightening explanation of the state of AI research and deployment internationally, especially in China. The author (Vishal Sikka) is particularly well qualified as the head of his dissertation committee was John McCarthy!
  • Here are my, “Three Imperatives for Legal Marketing Professionals in an Era of AI.”

 

  • The GDPR includes a “right to explanation,” which this author argues will necessarily limit the implementation of AI. “…a law that makes the limited scope of our ‘earth-bound’ comprehension a limit for technological progress.”

This piece explains (as have several of my prior posts) this lack of transparency inherent in much AI decision making. “There is little visibility into how AI and machine learning technologies come to their conclusions in solving problems or addressing a need, leaving practitioners in a variety of industries flying blind into significant business risks.”

 

  • AI news/briefs from law firms:

Clifford Chance deploys full-time team to Kira development.

Brownstein Hyatt posted this discussion about the increasing use of AI by health organizations.

Finnegan posted this piece titled, “Patenting the Future of Medicine: The Intersection of Patent Law and Artificial Intelligence in Medicine.” It’s a bit technical and academic, but if you’re interested in this field, worth your time to read.

Ken Clingen of Clingen Callow & McLean from the Chicago area posted this good overview of the applications of AI in the practice of law. It’s a useful introduction.

From DLA Piper: “TechLaw podcast: disruption in outsourcing – the impact of AI & RPA.”

“Hogan Lovells partners with Elevate to create new ‘flexible lawyering’ programme.” “…to complement its existing teams when faced with unexpected demands or surges in client need.”

“McCann FitzGerald launches innovative GDPR Gap Analysis App.” “…(T)he first of its kind to be developed using an AI-driven platform.”

 

  • The National Law Journal has released a list of “2018 AI Leaders.” Several of those selected have issued press releases to that effect. Since they’re all listed here, I will not post those.

 

  • Here’s a summary of the, “three new bills intended to establish a Federal Advisory Committee on the rapidly-evolving field of artificial intelligence (AI) and to analyze and report on the impact and growth of the technology.” I have covered each before, but this is a good summary.

 

  • I found this quite funny: “What happens when a neural network proposes legislation?”
  • Here’s an interesting post from Goulston & Storrs about Amazon’s entry into the grocery market via AmazonGo, Whole Foods and Amazon Fresh. (Alexa is now being sold at Whole Foods.)

 

  • Want to freak out some of the luddites in your firm? Show them this article and suggest that your firm do the same so your receptionists can be especially warm to your best clients. To paraphrase the article, OCBC Bank in Singapore is using facial recognition technology to identify facial features in real-time, and thus recognise their Premier Banking customers as they approach the lounge in the branch without needing to stop to look at the camera, enabling the branch staff to provide a more personalised experience.

 

  • Sticking with the somewhat creepy side of AI, Google has developed an enhancement to several popular apps (e.g., Facebook Messenger, WhatsApp, Twitter, Slack) called “Smart Replies” that learns how you write and will craft replies on your behalf designed to sound like you. It also considers your location, daily schedule and other information to which you’ve given it access. Then you review the message before it’s sent — so far at least.

 

 

  • This 38-page report from CBInsights does a solid job of describing the current state of AI and where its headed in 2018. It includes a lot of interesting data. Legal-wise it includes a heat map showing AI in legal as opposed to many other industries, and uses legal data (e.g., patent filings and equity deals) to measure AI activity internationally. The regulation of AI in healthcare is discussed. A handful of Alternative Legal Service Providers are listed. Here’s the Table of Contents:

  • This article by Joanna Goodman (author of Robots in Law: How Artificial Intelligence is Transforming Legal Services) is an excellent recap of a Luminance-sponsored roundtable discussion by in-house counsel of the AI tools they have used and their success with them. It also touches on the changes going on in the legal world generally. It’s a very worthwhile read.

 

  • From Above the Law, this discussion of the evolution of AI applications in legal work from hype to more realism.

 

  • Ireland-based McCann FitzGerald has launched a GDPR Gap Analysis Application. “Built with an AI-engine supplied by Neota Logic as part of a long term development agreement, the app assesses an organization’s GDPR compliance level by asking a series of questions.”

 

  • Also from Above the Law, three ways AI may create more law firm clients and jobs for lawyers: “Artificial Confusion: AI Will Create More Legal Jobs – Not Take Them Away.”

 

 

  • From June Hsiao Liebert, Director of Library and Research Services at Sidley: “Law Firms & Technology – 6 Vital Questions to Ask Your Artificial Intelligence and Data Analytics Vendors.” Hint: it’s all about the data.

 

  • AI for A2J has come to Russia! Law.com reports that, “Pravoved, a Russian legal marketplace, has designed a chatbot platform to consult Russian citizens on consumer rights protection.” It sounds pretty sophisticated.

 

  • Artificial Lawyer reports that Jim Cramer’s The Street has engaged Seal Software, to “leverage its capabilities for a broader range of contract analysis uses,” and for “GDPR compliance issues.”
  • This Thomson Reuters “survey of 207 in-house attorneys to measure current perceptions regarding the use of AI in corporate legal departments and the perceived benefits of AI once adopted” is a good look into the knowledge and attitudes of in-house legal departments. It should be required reading for law firm attorneys. The good news includes the fact that it is by no means too late to enter into AI conversations with clients; as of today, in-house folks tend not to be very informed or enthusiastic.

  • An aspect of AI that does not receive enough attention is ‘unintended consequences.’ This post does a solid job of outlining some (73!) of the impacts of autonomous (especially electric) vehicles that don’t get a lot of attention. Some are legal-related.

 

  • From Artificial Lawyer: UK-based insurance law firm BLM is partnering with the London School of Economics to develop litigation prediction models.

 

  • Some AI-related posts from law firms:

Hogan Lovells: “The South Africa mining industry is changing.” (AI is mentioned a couple of times.)

Thompson Coburn: “Proposal for nationalization of 5G network is dead on arrival.” (One mention of AI.)

Bird & Bird: “UK: Recent regulatory and market updates on energy storage.” (AI mentioned once.)

 

  • Here’s an interesting consumer-oriented use of legal AI. This “gizmo” designed by researchers from the Federal Institute of Technology at Lausanne, Switzerland, the University of Wisconsin, and the University of Michigan will read those user agreements you accept without reading and provide a “privacy policy analysis” (hence the name “Polisis“). I’m not sure how many folks will decide not to buy an iPhone because of a clause in the agreement, but at least they’ll know what they’re getting into. As you mouse over each word or phrase in the output, an explanation is provided (e.g., Apple’s “Cookies and Tracking Elements” above).

 

  • What do law firm Knowledge Managers want? According to a survey by Casetext, basically, automated data collection and structuring, and for AI to automatically translate that data into useful information. Details from Artificial Lawyer here.

 

  • From Artificial Lawyer: Lucy Bassli will be Chief Legal Strategist at Tel Aviv-based legal AI company LawGeex. She was previously in charge of contracting at Microsoft.

 

  • DLA Piper is at it again with yet another AI-focused podcast. This one is, “TechLaw Podcast: The disruptive impact of AI and automation technologies.”

 


For Your Home: Smart Speakers and Voice Assistants

I’ve been promising a review of the latest smart speakers and voice assistants. Now that I’ve spent a weekend with Apple’s new HomePod, it’s time. Skip to the bottom if you just want my recommendations.

As I posted and discussed in some depth back on January 15, I have been testing Apple’s Siri and HomeKit since they first appeared several years ago (I’m in Apple’s User Beta program), Alexa for almost a year and Google Home since November. My interest in home automation goes back to the early 1980s when I implemented several devices using the X10 protocol. We have certainly come a long way since my X10 days, not so much in terms of what can be done to automate a home, but in terms of external connectivity (i.e., Internet), reliability and ease of use.

Since that post back in January, I have added Alexa to my Prius via Roav’s VIVA, and as I mentioned, I finally have an Apple HomePod smart speaker. I have brought home, tested and returned (thank you Best Buy), the best speakers for Alexa and Google Assistant.

 

Voice Assistants

Note:

Microsoft slowly rolled out Cortana in 2015-2016, but I don’t consider it worth including here. I’m not sure Microsoft does either (at least not in your home) as several Microsoft devices have announced Alexa support.

There are several others (e.g., Samsung “Bixby“) that are either way behind technically or have very small market share, so I won’t go there.

 

It’s hard to believe but Siri first appeared on the iPhone 4S back in 2011. She has been part of our culture every since (Raj even got to meet her back in Season 5 of The Big Bang Theory). If you have an iPhone or iPad, I’ll assume you’re very familiar with her; if you’re not immersed in the Apple ecosystem she’s really not relevant. Siri is tightly integrated with iTunes, AppleTV and Apple Music.

I find Apple’s HomeKit, controlled by Siri to be the best home automation system. (More on that below.)

Siri has been around the longest, but is significantly less capable than Amazon’s Alexa or Google’s Home Assistant. For instance, Siri can only manage one timer at a time — a drawback when I’m preparing a big meal.

The next iOS release is scheduled to add several important features to Siri and the Apple home environment.

She (or a male voice for “he”) is activated by “Hey Siri.”

 

Amazon introduced Alexa in late 2014 along with its first Echo device. Alexa is relevant no matter what what sort of phone or tablet you use, and it supports a broad array of home automation devices (lights, switches, door locks, thermostats, blinds, garage doors, etc.). Alexa supports most music streaming services, if you’re using Amazon devices; otherwise, it gets limited and complicated. Check here for details. If you are an Amazon Prime subscriber (and thus Audible and Prime Music), you’re all set. I use the Alexa app for iOS (i.e., Apple) devices. Alexa is tightly integrated with shopping via Amazon, and it can read your Kindle books to you.

You have four choices for activating Alexa: “Echo,” “Alexa,” “Amazon” or “Computer.” This is absolutely one of my favorite things about Alexa; I just love being to wake it up with, “computer.”

One other Alexa note: I’ve added Alexa in my car by means of a Roav VIVA. It’s a cool idea, but isn’t ready for prime time. It’s not great at listening, the connection is spotty, the commands are limited and you can’t wake it up with “computer.”

 

Google Assistant was introduced less than two years ago in mid-2016. It’s available on Android devices and there’s an Apple app for that. With a Chromecast dongle, you can control television programming somewhat like AppleTV, but the programming is not nearly as broad. Google Assistant is more conversational than Siri or Alexa. For instance (slightly shortened):

[Me] “Hey Google, let’s cook some roast chicken.”

[Google] “I have a recipe from Cooking NY Times. It takes about an hour to make. Shall we try it?”

[Me] “Yes.”

[Google] “Would you like to prepare the ingredients or skip to the instructions?”

And so on.

Shopping is available through third part retailers (e.g., Walmart, Target, Cosco, Home Depot) via the somewhat cumbersome “Google Express”.

If you have more than one Google Home device, you can use them as an intercom.

One of my favorite things about Google Assistant (unavailable with Alexa or Siri) is the ability to string together items to be read to you  (called “daily briefing”). For instance, when I enter my kitchen in the morning, I say “Hey Google, good morning,” and Google proceeds to give me a weather report, read whatever is on my calendar for the day, and read the latest news from my selected sources (i.e., NPR News Now, NPR Technology, BBC Minute, PBS Newshour Science and WSJ Tech News Briefing).

Google’s vast knowledge base makes Google Assistant much more capable than Siri or Alexa at answering random questions.

The wake up phrase for Goggle Assistant can be “Hey Google,” or “OK Google.”

 

All three will help you find your phone by calling it.

All three are good at home automation, but I give the edge here to Siri because of its greater security than the others (more on this below). But you are somewhat limited in hardware choices if you go with Apple as some manufacturers (e.g., Nest) don’t comply with Apple’s security requirements. I find I have all I need with Apple’s HomeKit and: August door locks, Philips light bulbs, WeMo and Lutron switches, Chamberlain garage door openers and ecobee thermostats. All of three assistants do “scenes.” For instance, when I wake up and say, “Hey Siri, good morning,” the lights in my bedroom come on low, the lights in my kitchen come on at 100%, and my thermostats go to my preferred daytime temperatures.

All three can use “geofencing” to trigger actions. For instance, when I leave the range of my WiFi, all lights in my home go out (except porches) and the thermostats go to their “unoccupied” setting. When I return to the range of my WiFi network, the thermostats go back to whatever’s normal for that time of day, and (if it’s between sunset and sunrise) one light comes on on each floor.

Google Assistant and Alexa can recognize different voices and respond appropriately, for instance, “play MY favorite songs.” Siri can’t.

All three voice assistants have many other capabilities (e.g., order a pizza, call Uber, or give you a weather report). All three are adding more capabilities almost every day. Alexa has by far the most capabilities (25,000+ “skills”), but I don’t consider this a big deal as most people focus on the same few tasks. According to research from Edison Research published by NPR last month, the most common tasks by daypart are:

 

Smart Speakers

Amazon and Google have several speaker options. The cheapest are Echo Dot ($50) for Amazon Alexa and Google Home Mini ($50) for Google Assistant. Both are frequently on sale. For their size and cost, both sound remarkably good and listen well. Get one for each of the rooms in which you spend the most time. Apple’s Siri only has the just-released HomePod ($350), but Siri is easily controlled by your iPhone or iPad, one of which is probably with you most of the time.

All are very easy to set up — HomePod is easiest.

If what you really care about is audiophile quality sound, the best speakers for Apple, Google or Alexa are not smart speakers. None of the smart speaker options available for any of the three come close sonically to the equipment you probably already have in your home. (For me, that’s a Pioneer Elite SC-95 receiver and Bowers & Wilkins 700 series speakers.) There is absolutely no comparison between a good traditional home sound system and any smart speaker. So, for optimal sound, use WiFi or Bluetooth to send music from your phone or tablet to your home theater or other serious sound system. I’ve found AppleTV the easiest way to do this in my environment.

If you want the best possible sound from a smart speaker, here are the best options:

Apple HomePod $350

This is easily your best sounding option across all three platforms, and it’s less expensive than the most expensive options from Google and Amazon (see below). I have been a serious audio junkie my whole life and this is the first speaker in decades to really “wow” me. It is amazing what you get in this small package at this price.

It’s only relevant if you’re ready for complete commitment to the Apple ecosystem, partly because of the $350 cost.

 

Alexa Echo Plus $179 (get a pair!) or Sonos Play:5 $499 (Alexa is built in)

Echo is the only smart speaker with a “line out,” enabling you to use the device to listen for your commands but use a much better sounding speaker for listening. (In my office I use a Bowers & Wilkins A7, $400.)

 

Google Home Max $399

This unit sounds very good, but not as good as the HomePod or Sonos Play:5. Again, if you really want great sound, no smart speaker comes anywhere close to what you may already have in your living room.

 

To my surprise, a recent survey reported that many Google and Amazon device owners plan to buy HomePods.

 

Security

One of the complaints about the Apple ecosphere is that products and services are introduced too slowly. This is largely because Apple has been so demanding regarding customer privacy — much more so than Google or Amazon. This security focus has not diminished, and I’m OK with it. When in doubt, I go with Apple because of these extra security measures.

You’ll find much more about security and some fun Easter eggs here.

 

The Future

This 38-minute podcast does a good job of predicting where smart homes are headed. (Spoiler alert: you’ll have a lot more time on your hands to be doing things you really want to do.)

Bottom Line Recommendations

It largely depends on your phone — and whether you’ll regularly be using your smart speaker for music.

If you’re an iPhone person, stick with Siri in your pocket or plugged in. Get the HomePod if you’ll be using the voice assistant for music. I expect that Siri will catch up to the Google and Alexa assistants regarding the most important capabilities. Until it does, add a couple of Google Home Minis ($40 on sale) in the rooms where you spend most of your time. (This is because the Google Assistant is so much better at general inquiries.)

If you use Amazon Music, get an Echo Dot and connect it to a good speaker. Or get a Sonos speaker with Alexa built in. It’s probably worth also getting a couple of Google Home Minis for the rooms where you spend most of your time.

Otherwise, if you have a streaming music service (e.g., Spotify, Slacker, Pandora), go with Google. Get one of their speakers and Chromecast ($35) to connect to your TV. If your TV is connected to some really good speakers, this will be excellent for music too.

 

These cartoons from the Marketoonist summarize pretty well where we are today with this tech. For instance:

  • Check out this interesting post by Gerry Riskin about LTaaS (Legal Technology as a Service). It seems Allen & Overy is using Neota Logic technology to offer some fresh packaging/delivery of services. It’s branded “aosphere.”

 

  • From  Alicia Ryan, Knowledge & Innovation Delivery Manager at Fenwick via Artificial Lawyer, this projection of how consumers of corporate legal services may see AI in about 5 years.

 

  • Also from Artificial Lawyer, this post by Laura van Wyngaarden, COO of legal AI company, Diligen, in which she discusses client pressure on legal fees and how legal AI technology can play a positive role. She makes good points about using AI to increase efficiency, but keep in mind that optimal pricing need not be a race to the bottom, being the cheapest. A healthier approach is to discover the client’s value drivers in each situation and work to meet those criteria, and price accordingly. More discussion of this here.

 

  • I’m usually somewhat selective about posting AI content from law firms, but to give you an idea of how much is typically out there, here are almost all of the AI-related briefs from law firms I have seen in the past two days:

I have often mentioned the need for regulations and laws to catch up with AI. Here, from Neil Kirby, Director for Healthcare and Life Sciences Law at Werksmans Attorneys is a good review of the state of affairs in AI and healthcare regulation in South Africa. His general observations are relevant across borders.

From DLA Piper: “Connected devices and the Internet of Things: What insurers need to know.”

and, “Top 5 Internet of Things predictions for 2018.” (It’s all about the data, and hence, the GDPR.)

From Frost Todd Brown: “You Can’t Sue a Robot: Are Existing Tort Theories Ready for Artificial Intelligence?”

An interview with McDonald Carano’s IT Director, Rob Sawyer: “Automating Law-Firm Contracts.”

From Goulston & Storrs: “Facial Recognition in Retail: “Attention all Shoppers: We Already Know Everything about You.”

From Tom Fox Law: “Using AI In a Compliance Function – Part I.”

From Allen & Overy: “Using artificial intelligence to fight financial crime – a legal risk perspective.”

From Bird & Bird: “Data, Database Law, and Digital Innovation – Lessons from the Technomed Telemedicine case in the English High Court.”

From Littler: “AI’s Transformational Role in Making HR More Objective While Overcoming the Challenge of Illegal Algorithm Biases”

 

  • Here’s a good overview of what AI my hold for document management in the coming few years.

 

  • From The Guardian: In the UK, “Police ‘may need AI to help cope with huge volumes of evidence’.”

 

  • And while we’re in the UK, Artificial Lawyer reports that Allen & Overy’s banking practice has adopted deal management platform, Legatics. (It seems I post about Allen & Overy at least once a week.)

 

  • From the always excellent Attorney-At-Work folks, here are several summaries of the most interesting stuff at last week’s Legalweek 2018.

And there are many interesting AI observations and slide shots from Legalweek here.

 

  • Gotta love this application of AI and facial recognition: “AI computer vision breakthrough IDs poachers in less than half a second. … Thousands of animals including elephants, tigers, rhinos, and gorillas are poached each year. Researchers at the USC Center for Artificial Intelligence in Society have long been applying AI to protect wildlife. Initially, computer scientists were using AI and game theory to anticipate the poachers’ haunts, and now they have applied artificial intelligence and deep learning to spot poachers in near real-time.”

 

  • From our ‘Kiss Your Privacy Goodbye‘ bureau, “Police in China are wearing facial-recognition glasses. … Fixed facial recognition cameras have been in use to fight public toilet paper theft and to catch beer festival-going criminals in China, and now the technology is being mounted onto wearable glasses to eliminate any blind spots for crimes.” There’s much more here about the “insidious downside” of China’s massive investment in artificial intelligence.

Even in the US, as discussed here, consumers seem to be giving up interest in their privacy.

 

  • Finally, for an hour of your weekend listening pleasure, here’s “Frontiers Lecture: Being Human in the Age of Artificial Intelligence with Max Tegmark and Neil deGrasse Tyson.”