Let the machines do the official busy work so lawyers can aim on complex issue solving for their customers. That is the profitable idea behind Justin Kan’s (Twitch co-founder) machine learning startup, Atrium LTS. This allows building applications and digitizing legal documents to pace up commercial contracts, fundraising, employment issues, and equity distribution. For instance, one of its applications automatically converts startup funding docs into Excel cap tables. All this is done with the help of machine learning.
Automating costly legal labor has resulted in a rapid increment to 110 workers and 250 customers for Atrium, comprising startups such as MessageBird and Bird. Atrium only made an entry a year back with a $10.5 Million funding before going into Y Combinator previous fall. And now, it declared that it has lifted $65 Million funding spearheaded by Andreessen Horowitz.
Kan tells the media, “I’m pretty sure about this because of having more resources at the firm.” The venture company’s associate, Andrew Chen, is taking a board seat. Marc Andreessen, the famed co-founder, is also joining as an observer to the board. “I needed a visionary who is always going to be motivating us to develop something actually big,” Kan claims.
Speaking of machine learning, Cisco is extending its Unified Computer System range with enhanced systems for machine learning and artificial intelligence (AI) employing latest GPUs from Nvidia.
With this decision, Cisco turns out to be newest networking and server vendor to enhance systems for machine learning, AI, and deep learning. HPE, Dell, and Lenovo have analogous systems. AI is being employed for healthcare, finance, security, media, manufacturing, and retail.
Developed for deep neural networks, Cisco launched the UCS C480 ML M5 Rack Server. The device comes with the newest 8 Nvidia Tesla V100-32G GPUs and 4 Intel Xeon chipsets coupled with NVLink interconnects.