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Cube vs Logikcull comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Cube
Ranking in AI Data Analysis
19th
Average Rating
8.4
Reviews Sentiment
6.2
Number of Reviews
5
Ranking in other categories
Embedded BI (10th)
Logikcull
Ranking in AI Data Analysis
353rd
Average Rating
7.6
Number of Reviews
2
Ranking in other categories
eDiscovery (14th), Investigation Management Software (1st), AI Legal & Compliance (136th)
 

Mindshare comparison

As of August 2026, in the AI Data Analysis category, the mindshare of Cube is 0.3%. The mindshare of Logikcull is 0.0%. It is calculated based on PeerSpot user engagement data.
AI Data Analysis Mindshare Distribution
ProductMindshare (%)
Cube0.3%
Logikcull0.0%
Other99.7%
AI Data Analysis
 

Featured Reviews

Amir Hassan - PeerSpot reviewer
Data Scientist / Data Analytics Consultant at Fiverr International Ltd
Managing complex data hierarchies has improved analytics but still needs richer hierarchy types
To evaluate Cube's efficiency in handling large data volumes, I use metrics including F1 scores, AUC (Area Under the Curve), and RMC (Root Mean Squares), along with RSE (Root Square Errors). These factors help me gauge the efficiency of the algorithms clearly. Regarding improving Cube, I believe that when we are building hierarchies, I should enhance the type of hierarchies. For instance, in a few countries lacking state systems, there could be a hierarchy without proper categorization—such as continent, country, and city. Therefore, it would be beneficial if I could improve the hierarchies to retrieve data as quickly as possible from Cube.
VS
Senior Paralegal at Wilenchik & Bartness Law Office
Powerfully simple legal software for processing, reviewing, and producing data
First of all, uploading the documents is super easy. You just throw it in a zip, and unless it's a PST, then you can throw it in directly. The process of tagging, and searching. It's got a greatly intuitive, advanced search mechanism. The best part of all is just the downloading of the actual Bates stamped documents, and then sharing them with other people. Then you can see when the other party has accessed it. So if they say, "I never got it." Then you can say, "Yeah, you did here. Here, you accessed it on this day at this time. So you did." It's like a date and time stamp. The dashboards are gorgeous. They have helped me through so many possibilities — I could talk all day about Logikcull. When you're getting ready to produce, it will say "You have things that are marked privileged." Or "You have things that are potentially privileged." What Logikcull does is gather as many email addresses for law firms in the world as possible. They will gather those email addresses, and then if there are any of those email addresses that come up, they will say, "These are potentially privileged. You might want to look at them before you produce them." They've got a good quality control mechanism within the program too. Eclipse SE doesn't because it's server-based, so you have to do quality control on your own. There's this built-in "Wait a minute. Don't produce, look at this first, before you do the production." It has really saved me a couple of times.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"NPS improved to approximately eight out of ten for our feature, and internally ticket handling times decreased, allowing reallocation of resources to higher-impact projects."
"Cube completes my tasks very easily and takes less time, allowing me to deliver any project in a timely manner to our clients."
"Cube's caching mechanism impacts my database query loads and response times significantly."
"Implementation was super smooth, and within two weeks we were up and running and the metrics were exposed in our app."
"The most valuable feature which I found was that it was very user-friendly. It's a very new age-friendly tech for uploading the data into the software. It also has a wonderful representation of data in terms of dashboards and pivot charts where you get your data represented in various angles and projections."
"Logikcull has been a huge time saver."
"The most valuable feature which I found was that it was very user-friendly."
"Uploading the documents is super easy. You just throw it in a zip, and unless it's a PST, then you can throw it in directly."
 

Cons

"Cube's interface can be challenging for non-technical users, needing clearer use-case examples to ease integration into workflows."
"There is no way to create a real template that is not exposed directly in the UI."
"I did not see any return on investment from Cube."
"When it comes to the initial setup of Cube, I faced some challenges, including server issues when uploading data from local sources to the Unipi servers."
"Cube can be improved by enhancing data refresh over multiple tabs."
"The guys over at Logikcull will do everything possible to avoid a screen-share — they do everything via text."
"If you have extensive litigation projects involving many clients, you might want to go for the standard tools like Relativity."
"It would be better if they could include a technology-assisted review feature, which brings artificial intelligence into the cloud and the system itself. It would be great savings in terms of time and costs as you won't have a person manually going into a dense asset of documents and doing it."
 

Pricing and Cost Advice

Information not available
"The cost depends on the case size of the data and the number of projects they're expecting to encounter. If it's small to medium-sized, this tool will be very good because it has a pay-as-you-go feature instead of an hourly billing rate, where they bill you every hour, and you have to go through the structure from beginning to end."
"Logikcull is very expensive. I wish it were less expensive."
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Top Industries

By visitors reading reviews
No data available
University
18%
Construction Company
15%
Legal Firm
13%
Financial Services Firm
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
No data available
 

Questions from the Community

What is your experience regarding pricing and costs for Cube?
The cost is around $1,500 per month. The exact number is not coming to my mind, but it is approximately $1,500 or $200 per month.
What needs improvement with Cube?
To evaluate Cube's efficiency in handling large data volumes, I use metrics including F1 scores, AUC (Area Under the Curve), and RMC (Root Mean Squares), along with RSE (Root Square Errors). These ...
What is your primary use case for Cube?
In my recent projects with Cube, I was tasked with finding crashes and the reasons behind them using three datasets: people, crash, and vehicles. I had to merge them and preprocess them, clean and ...
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Comparisons

 

Overview

 

Sample Customers

Information Not Available
Williams, Veolia, Salesforce, NYC, The Sierra Club Foundation, Unisys, Zenefits, Airgas, Haynes Boones, Earth Justice
Find out what your peers are saying about Cube vs. Logikcull and other solutions. Updated: June 2026.
909,153 professionals have used our research since 2012.