Monday, 9 May 2022

VB Daily | May 9 - PocketLaw automates legal work to save money and time ⚖️ 🕰️

Daily Roundup
The Lead 🗞️
[1] PocketLaw nabs $11M to automate legal work
[2] Microsoft launches new managed service category 
[3] Cogniteam enhances low-code AI robotics platform
The Follow 📰
[1] Founded in Stockholm, Sweden, in 2018, PocketLaw targets subject-matter experts (SMEs) and attempts to offer all the smarts they need to manage and automate many of their repetitive, day-to-day legal tasks.
Creating contracts and legal documents from scratch can be a resource-intensive endeavor — lawyers may charge by the hour to essentially repurpose existing files for a new client — while digital template banks offer an alternative solution that is slightly less expensive. 
PocketLaw aims to make the contract-creation process significantly cheaper and quicker, enabling users to build "bespoke legal agreements" in a matter of minutes through automation and a question-and-answer approach supported by on-screen digital guides. The platform also allows you to collaborate with various legal stakeholders as needed. >> Read more.
[2] Today, Microsoft announced the launch of a new managed service category called Microsoft Security Experts. The service provides organizations with support from external security experts who can conduct tasks like threat hunting and managed detection and response. 
For organizations, the service enables on-site security teams to extend their capabilities with support from off-site Microsoft experts. The experts will investigate the environment for security incidents and hand over contextual alert information alongside remediation instructions to determine how they can respond.
"Today's threat landscape is incredibly fast-paced. New campaigns surface all the time and the amount of damage that they can cause is not always immediately apparent," said Rob Lefferts, corporate vice president of Microsoft 365 security. "Security operations centers (SOCs), must be equipped with tools and expert insight to identify and resolve potentially high-impact threats before attackers set up persistence mechanisms, steal data, or deploy ransomware." >> Read more.
[3] In AI and robotics, designing a system from scratch often requires a large set of multidisciplinary skills. With low-code, having a software development background is largely irrelevant, as team members of all experience levels can make improvements and updates directly to the robot.
Since robotics is all about integration, most robotic companies don't develop robot sensors themselves but use ready-made building blocks. Therefore, it makes sense to do the same with software building blocks. Once those components become more standard, there wouldn't be a need to redevelop mapping, localization and object detection. Instead, they can be consumed and parameterized as components with clear interfaces and commercial support.
"Nimbus is the only platform that gives a complete solution for every stage in a robotic company — development, testing, deployment and scale," According to Yehuda Elmaliah, cofounder and CEO at Cogniteam,  "In the development phase, users can rely on ready-made components to drag, drop, connect and deploy them to the robots. They can build their own components, use built-in 3D simulation, monitor the robots anywhere, manage their fleets, and get insights from the fleet and robot analytics." >> Read more.
The Buzz 🐝
David Manheim
Ethicists of technology, what would you reply to @ylecun's claim that "An ethical guideline [for a machine learning conference] should be at most one page long and only contain items that are non controversial and obviously shared by every reasonable author."
cc: @EthicsInAI
Aidan Peppin
UK data protection (ie. the gdpr) reforms to be announced in the queen's speech https://t.co/7Nxw4F2SwZ

We synthesised the evidence about what the UK public expect from data regulation.

Top finding: they want it strengthened, not weakened

More here ⬇️ https://t.co/5h0n0wEpzj
By The Numbers 🔢
5 ways AI can help solve the privacy dilemma:
  1. Create platforms that can process millions of inputs in real-time — contextually, behaviorally — with no user ID and no cookies.
  2. Generate first-party data.
  3. Motivate, engage and connect with first-party data.
  4. Enable marketers to better leverage influencers and creators.
  5. Play a huge role in protecting privacy by securing data from hackers.
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