Item: DISCO Ediscovery
Rating: 10
Author: Verified User

Overall Satisfaction with DISCO

Use Cases and Deployment Scope

A team of researchers at our firm uses Disco to search and organize several discovery pools with over a million documents each. We have a system of tags that allows us to pull documents about certain topics and of certain levels of relevance with a few clicks.

Pros and Cons

Pros

Customizable interface: Disco lets me set up my view how I want, which lets me get through documents faster. Many different types of filters are easy to access.
User friendliness: Disco generally lets you do anything you logically should be able to do with an e-discovery platform.
Support: Disco support is responsive and helpful.

Cons

Downloading files: sadly we haven't moved entirely to working within Disco (nor would this be possible for the foreseeable future). When downloading files, it would be helpful to be able to customize the file name, which we currently have to edit manually. It would also be helpful to be able to download parents and attachments as one file while downloading large groups of files. Currently, we can either 1) download parents and attachments as one file but without other files or, 2) download all files separately. We regularly download large groups of files (100+) and are then forced to combine parents and attachments manually.
Disco's AI has not been helpful in the cases I've worked on. It seems to me that it basically just counts the number of appearances of words it considers relevant. While this can be useful in certain contexts, it often puts quantity over quality and pulls irrelevant documents (such as scholarly articles on topic when we're looking for company documents). Our team tried using extra coding to teach the system in the most efficient way (as described to us by Disco employees), but we have since abandoned any hope of using predictive tagging and other AI features. I'm not sure predictive tagging would save us much time anyway, as we often perform searches on new topics as we move into new phases of litigation and discover new issues.
I have experienced minor interface bugs, such as being unable to scroll to folders at the bottom of the list or problems scrolling through documents. These are easy to work around, but still cause some inconvenience.

Alternatives Considered

Nextpoint

Faster and more intuitive interface—no need to navigate between different windows constantly to view documents and search results. The last time I used Nextpoint regularly was late 2017.

Likelihood to Recommend

Disco is better than all the other e-discovery platforms I have used, mostly because of the interface. I would recommend Disco for this reason, but I would be open to other platforms. We have experienced issues ingesting documents into Disco that had previously been produced in another e-discovery vendor, so I would caution a new user against changing vendors as such.

Comments

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Caroline Hall
(Vendor Representative) commented 6 years ago
Thank you so much for taking the time to post a review. We appreciate all the feedback you provided and will use it to continue to improve our technology and services. We are very glad to hear DISCO has been valuable to your practice by saving you time and helping you work efficiently. Can you imagine having to review millions of documents without it? Just thinking about it makes my head spin. It sounds like you’ve already spoken to the team about some of these items, but I want to make sure it has gotten the attention it deserves. So here goes: - Downloading:Thank you for the feature suggestion of being able to download families in a single file as well as renaming filenames. I’ve forwarded this along to our product development team. If you can reach out to me, we’ll make sure to notify you when we release these updates. - AI: I’m sorry to hear your experience with our AI has not been as you expected. Just a quick note on this...DISCO AI, which was developed in-house at DISCO, does indeed look at the context of words and not just frequency of occurrence. We look at phrases and phrases of phrases and so on. We also take into account key metadata (e.g. custodian, sender, recipient) when providing predictions. We use our predictive tagging technology, powered by DISCO AI, for all of our managed review projects with a lot of success...as do many of our clients. It seems like you may have already spoken to our AI team, but we’d love the opportunity to show you several enhancements our data science team has made to DISCO AI over the past few months. - Bugs: If you experience bugs, please submit a ticket to support@csdisco.com so we can get them fixed and they don’t happen again. We cannot thank you enough for all of this feedback - it helps us continue to improve and make our product exactly what our users want. If you have any additional feature requests, you can email me directly and I can get them submitted on your behalf. hall@csdisco.com. Thank you! Gratefully, your DISCO team (written by Caroline Hall, Client Advocacy Manager)

After 2 full years of using Disco almost every day I would recommend it.