– Influential Raises $12 Mn Funding To Fuel Its Artificial intelligence Software-as-a-Service (SaaS) Platform.
– From Bloomberg: Billionaire Who Helped Dark Knight Rise Goes All-In on AI.
– From Artificial Lawyer: “Brazilian legal tech platform, Juridoc, is launching a fundraising round on Latin America’s Kria crowdfunding site.” “Juridoc’s founder, Maxime Troubat, is seeking to raise R$550,000 in total, which is about US$150,000, with R$300,000 coming from individuals making an investment via Kria to build out the platform for the Brazilian legal market.”
– Also from Artificial Lawyer: ‘Legal AI is an Arms Race and the $17.5m Will Help Us Win It’ – Eigen.
– BEIJING – “JD.com, one of China’s largest E-commerce firms, has announced that Google are [sic] set to invest around US$550 million in the company in order to advance a strategic partnership with the aim of developing a ‘personalised and frictionless’ consumer experience.”
– Whatever happened to all of the rush of law firms to go public? Well, there’s this: “In line with its strategy of ‘doing things differently’ and in order to help increase its investment in technology and connected services, DWF may shortly become the largest law firm to float on the London Stock Market with a valuation of up to £1bn.”
Some blockchain news bits:
– This is an interesting podcast from Child & Child: “Artificial intelligence (AI), blockchain and smart contracts are the buzzwords of the moment. And some reckon that their combined force could be about to disrupt the legal profession as we know it.”
– Lots of legal implications here: ‘Walk In With Your Eyes Open’: Navigating Blockchain And CRE (Commercial Real Estate.)
– From Global Banking and Finance Review: Artificial Intelligence (AI) Takes a Giant Leap Forward With Blockchain Infusion. “As Artificial Intelligence advances, the need for enhanced security is becoming apparent and therefore Blockchain is becoming more common in the market.”
– This 10-minute video Australian law firm, Corrs Chambers Westgarth shows how a real estate transaction can be executed on the Ethereum blockchain.
- From Proskauer: United States: AI: Next Big Thing Or Next Big Lawsuit? “AI is prone to bias and discrimination in employment decisions. The reasons for this are twofold. First, AI is only as objective as the engineers who coded it. As such, intrinsic biases can make their way into code, which the AI program’s analyses may reflect. Second, AI learns from the data it is fed. The data, however, often include implicit biases from the real world that AI may perpetuate.”
- From Artificial Lawyer: “The Law Society of England & Wales has launched a groundbreaking public policy commission on the use of algorithms in the justice system….” (Here‘s a link to The Law Society’s report, Artificial Intelligence (AI) and the Legal Profession.)
And… “In one of those unexpected moments of synchronicity, Canada has also just launched a major research project into AI and justice that, like the UK’s commission on algorithms and justice that was launched yesterday by the Law Society, may also produce recommendations on ethics and regulation of the technology, with a central aim to increase access to justice through the use of AI.”
- “It’s all about the data” is a phrase I often repeat in my presentations on AI, and this post from Above the Law underscores the point. What Makes Good Legal AI? Quality Data.
- Here, also from Above the Law, is a deep dive into The Ethical Implications of Artificial Intelligence. “Artificial intelligence is transforming the legal profession — and that includes legal ethics. AI and similar cutting-edge technologies raise many complex ethical issues and challenges that lawyers ignore at their peril. At the same time, AI also holds out the promise of helping lawyers to meet their ethical obligations, serve their clients more effectively, and promote access to justice and the rule of law.”
- Here’s a good discussion of where we are today vis-a-vis reaching Artificial General Intelligence (AGI), in many ways AI’s Holy Grail. “A machine with true AGI would be able to perform any intellectual task a human being can. This means if you asked a robot with AGI to hammer a nail, it wouldn’t need to be programmed to do so. It would try — and possibly fail — on its own. It would be able to learn from its mistakes and try until it got it right.”