When kCura acquired Content Analyst in 2016, I was concerned that left only two analytic engines with significant market share. I should have realized that others would see opportunity and rush to fill the void. Agnes Intelligence was founded in 2018 from John Snyder’s NY trial litigation firm. It is not surprising that the user interface and functionality focus on trial prep and triaging opposing productions. The Agnes Intelligence website suffers from the typical lack of specificity in explaining the 5W1H’s of their offerings. I am going to start doing these for every brief that needs them. Here is my take:
- What is the product?
- IBM Watson based analytic engine that presents a hierarchical clusters in a table of contents style navigation interface. Platform includes automated audio transcription and continuous active learning review mode.
- Who are the targeted buyers?
- Primarily law firms and ALSPs struggling with large discovery productions.
- Where can the platform be implemented or purchased from?
- On premise, cloud (SaaS) or as an IaaS purchase with their partner Reynen Court.
- When should product be used in the EDRM lifecycle?
- Although Agnes seems to be focused on postproduction trial prep, it supports high speed ECA scenarios to support resolution decisions and minimize the cost and time required to reach fight/settlement resolutions.
- Why chose Agnes over others?
- This is always subjective, but their best differentiators seem to be the intuitive ToC style concept navigation, logical cluster labeling and simplistic Hot/Warm/Cold continuous active learning. Complex coding layouts and concept wheels can intimidate non-technical users.
- How can I buy this?
- Smaller startups always seem to have more flexibility in their consumption models. Agnes is currently available in a volume-based subscription.
That gives you the basics and some screenshots. I do not see Agnes as a Relativity replacement yet. It seems to be much better suited for triaging large collections/productions to identify key evidence. I can see usage cases around relevance scoping, investigations and even development of enterprise categorization rules. Their ability to manage diverse data sources like news, social media and audio/video needs to be called out as our remote working custodians increasingly use Teams and other social networking systems internally and externally. So I am happy to add another option for clients with challenging data source compositions and very large discovery profiles.
Greg Buckles wants your feedback, questions or project inquiries at [email protected]eDJGroupInc.com. Contact him directly for a free 15 minute ‘Good Karma’ call. He solves problems and creates eDiscovery solutions for enterprise and law firm clients.
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