AJ Shankar

CEO, Everlaw, Inc.

AJ has a Ph.D. in Computer Science from UC Berkeley and an A.B. in Applied Mathematics/Computer Science from Harvard University.

Everlaw Escaped!

We really like games. There is some kind of board, card, or video gaming going on virtually every day at our office. Games help improve our lateral thinking, our logical reasoning, and our team cohesion. And—oh yeah—they’re really fun. Some of our favorite games involve puzzles. For instance, a group of us collaboratively solve a
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Here at Everlaw, we take security seriously. We know that our customers place a great deal of trust in us, and we work hard to keep that trust every day. Below are some of our key security policies and practices. While not an exhaustive list, it will hopefully demonstrate why we are relied upon by
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Everlaw Takes Off

Everlaw has just closed a funding round, led by premier venture capital firm Andreessen Horowitz! Read on for details.   Modern litigation needs technology — and not just good technology, but great technology. Millions of documents; the needle-in-the-haystack objective; the subtlety of understanding evidence in context; the high monetary stakes; and the deeply collaborative nature
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Typescript Plugin Netbeans

Everlaw is committed to using and contributing to open-source software. Participating in the global network of millions of open-source developers helps us bring the most advanced and efficient technologies to the legal space. Today, we are releasing a substantial new open-source project that has broad applicability to developers of every stripe, not just those working
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Open Source Software

We at Everlaw love open-source software. We build off of open-source tools for our application server, database, search engine, front-end framework, and more. What that means is that we don’t reinvent the wheel each time we write a new feature. Just as attorneys start a contract with an existing template and then customize it for
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Predictive Coding

Introducing Predictive Rating We’re proud to announce our proprietary Technology-Assisted Review tool, Predictive Rating. Predictive Rating learns from how you’ve manually rated documents (hot, warm, or cold) to predict how the rest of the documents in your case might be rated. Here are some highlights: Predictive Rating doesn’t require any configuration. It’ll start working automatically
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Long-Range Thinking

Building a great litigation platform demands a long-term outlook. At Everlaw, we take a long-term view on everything from hiring to technical infrastructure to customer relations. We ask ourselves, “Is what we’re building now going to work in ten years?” Our company values help us maintain that long-term perspective. I’m happy to share them here
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