Fast end-to-end DIY e-disco processing and production in the cloud
June 23, 2021

Fast end-to-end DIY e-disco processing and production in the cloud

Joshua A. Headley | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User

Overall Satisfaction with Logikcull

I use Logikcull primarily to prepare messages from our clients' Slack environments for e-discovery review and production.
  • Customer service / tech support
  • Ease of use
  • Speed
  • Pricing
  • Implementation of feature requests
  • Metadata availability for Slack uploads
  • Slack JSON processing
  • DIY model
  • Ease of import/export
  • Customer Sat (Quality) - very rarely any issues with Logikcull's output
  • Customer Sat (Speed) - the platform is very fast for the type of data we run through
  • ROI is quite high as the platform is fairly inexpensive to use
Again, specifically for Slack JSON parsing, I think Logikcull's handling of the data is the best. It handles Thread messages very nicely and things like "code snippets" display much like they do in Slack itself. I have not found a Slack JSON parser that is better.

Do you think Logikcull delivers good value for the price?


Are you happy with Logikcull's feature set?


Did Logikcull live up to sales and marketing promises?


Did implementation of Logikcull go as expected?


Would you buy Logikcull again?


Well-suited for DIY e-discovery processing and review. The platform is simple to use and pretty damn fast. If you have simple/basic source ESI and you want something quick and dirty, this is a great platform for that.

Where it's less appropriate is for a large multi-user review, or where the data sources are complex.