Extract from article by Jason Lemkin published by SaaStr
So a while back on SaaStr, we did a couple of posts about how B2B and SaaS marketing needed to catch up. That you needed your VP of Marketing to make a real lead commit,to have a true quota of some form. Not just get you blue pens with your logo on it.
Even today, most “VP” of marketing candidates in SaaS I meet didn’t even really have a true lead commit at their last gig. Not really. Maybe they had a soft commit, or best efforts, or something. But not a true lead commit.
So a lead commit is good. It’s 100x better than no commit at all.
But I think we’ve moved past this now.
An abridged look at the business of eDiscovery mergers, acquisitions, and investments. The presented listing highlights key industry business moves by sharing the announcement date, acquired company, acquiring or investing company, and acquisition amount (if known) of significant eDiscovery-related mergers, acquisitions, and investments.
Taken from a combination of public market sizing estimations as shared in leading electronic discovery reports, publications and posts over time, the following eDiscovery Market Size Mashup shares general worldwide market sizing considerations for software and services in the electronic discovery market for the years between 2016 and 2021.
One of the core purposes of all of the Tracks is to demonstrate the robustness of core retrieval technology. Moreover, one of the primary goals of TREC is: [T]o speed the transfer of technology from research labs into commercial products by demonstrating substantial improvements in retrieval methodologies on real-world problems.
The proceedings of the TREC Total Recall Track have been published by the National Institute of Standards and Technology. The purpose of track was to investigate methods and technologies to find, as nearly as possible, all documents in a collection that satisfy specific criteria, with reasonable effort.
Best Practices for eDiscovery Searching: A Continuing Legal Education (CLE) On-Demand Presentation (1.0 Hour) prepared and presented by CloudNine. This CLE-approved webcast session will cover goals for effective searching, what to consider prior to collecting ESI that will be subject to search, mechanisms for culling prior to searching, mechanisms for improving search recall and precision, challenges to effective searching and recommended best practices for searching and validating your search results to ensure effective search results.
This is the e-Discovery Team’s training course on how to do TAR (Technology Assisted Review). What TAR really means is electronic document review enhanced by active machine learning, a type of specialized Artificial Intelligence. Our method of AI-enhanced document review is called Hybrid Multimodal IST Predictive Coding 4.0. The Course is composed of sixteen classes.
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