The content here is for informational purposes only, should not be taken as legal business, tax,

or investment advice, or be used to evaluate any investment or security and is not directed

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slash disclosures.

Hi, everyone. Welcome to the A6 and Z podcast.

I'm Sonal.

Today's episode, moderated by A6 and Z board partner, Steven Sonofsky, is all about

the data edge in machine learning startups.

The conversation covers everything from machine learning algorithms and academic papers

versus in products to how startups can compete with big companies on the data front to

machine learning

as a service, and how to tease apart hype versus reality. Joining us to have this conversation are

Jensen Harris, the CTO and co-founder of Textio, which is a platform for augmented writing of

business documents like job descriptions. And let me actually tell you a little bit more about what they

do only as it's relevant for the discussion on this pod. Their platform provides in real time quantitative guidance based on evidence that's continually

mined from tens of millions of documents.

And then we also have AJ Shankar, CEO and co-founder of Everlaw, which is an A6 and Z portfolio

company.

He's a computer scientist who fell into law, not in a good way, not in a bad way.

And they help lawyers sift through huge piles of evidence to find the proverbial needle in the haystack for both litigation discovery and for helping build the

narrative of a convincing case. And just to give a quick sense of the contrast between people and

machines here, it's something that would take people hours of manual linear review, often on very

...