I appreciate Relativity's concept of object/field implementation, which allows me to create objects or fields to cater to different client requirements. The item level permissions are great for restricting functions as needed. I find it easy to understand and appreciate the different ways to bring data into the tool, including four different ways to upload documents for a faster start to the review. Initially, it was a bit hard to set up, but very soon the team got trained because of its ease of use. Review collected by and hosted on G2.com.

One improvement I suggest is AIR is working well to support review process, cost cutting and time management. If they can implement in admin function such as permissions, event handler, processing etc., it would be easier to execute them hassle-free. Review collected by and hosted on G2.com.

What I like most about Relativity is its user-friendly interface and well-organized structure. The platform is easy to navigate, making daily tasks more efficient and intuitive. I also appreciate its clean and professional appearance, which contributes to a better overall user experience. Review collected by and hosted on G2.com.

One downside of Relativity is that certain processes may involve multiple steps, which can sometimes impact efficiency when handling large volumes of data. Review collected by and hosted on G2.com.

Relativity is remarkably complete and comprehensive, while still being very easy to use. Review collected by and hosted on G2.com.

I don’t like the document translation feature, as it’s often inaccurate and unreliable. I also feel that some common DFIR-oriented functions are missing, although that may simply reflect my personal preferences and professional background. Finally, I think the platform would benefit a lot from a real-time AI chat assistant to help speed up project management, as well as review, triage, and analysis. Review collected by and hosted on G2.com.

Relativity brings together a lot of useful features in a single software application. It feels like it’s at the cutting edge of technology, especially with its AI capabilities, and it delivers consistently solid performance. I also like the level of UI customisability, and it integrates well with many different applications. On top of that, their support team is fantastic, and they run regular training sessions and events that are genuinely helpful. Review collected by and hosted on G2.com.

At times, the UI feels a bit lacking. Although it’s well optimised for document review, as an administrator I find that the navigation and processing steps can feel slow and take longer than expected. It’s also fairly expensive. Review collected by and hosted on G2.com.

Very easy software to use, extremely easy to set new users and train them in the use of the software. The customer support is superb, whenever we have an issue we usually get a reply within the hour, and more often than not our issue is sorted before lunch. Review collected by and hosted on G2.com.

I dislike how many steps some things take to implement. When adding security to some layouts/fields, it takes a long time with opening entirely new windows and waiting for them to load etc. It'd also be nice to have more automated tasks, such as when making an ARM having the ability to automatically delete the main workspace. Review collected by and hosted on G2.com.

I use Relativity for Data Collection, Processing, Review, and Production for various matters, including Investigations, Regulatory Requests, and Data Breach Response. I like its scalability and customization. I also appreciate the push on AI usage across multiple workflows. Review collected by and hosted on G2.com.

I think most of it works, but the big push at AI also has some drawbacks that a lot is constantly changing and users need to adapt quickly, so dominating a workflow at this point doesn't add a lot of value if it is going to change in 3 months. Spending time on training can not make a lot of impact if it is required to relearn workflows. Review collected by and hosted on G2.com.

What I like best about Relativity is the level of control and scalability it provides as both a review platform and an administrative tool. In my role as a system administrator working across Relativity Server and RelativityOne, features like granular permissions, workspace templating, and automated workflows allow me to standardize environments while still adapting to unique client requirements.

The advanced search functionality—particularly dtSearch and analytics—has been critical in reducing review time and improving accuracy on large, complex datasets. For example, leveraging structured analytics and email threading has significantly cut down on duplicate review effort and helped teams prioritize key communications faster.

From a performance standpoint, RelativityOne’s cloud architecture has made a noticeable difference in speed, accessibility, and scalability compared to on-prem environments, especially when handling high data volumes or supporting distributed review teams. The ability to quickly scale resources without infrastructure overhead has improved turnaround times on tight deadlines.

I also appreciate the ongoing investment in AI and automation, including features like active learning and assisted review, which continue to evolve and provide meaningful efficiency gains. These tools not only accelerate review but also help maintain consistency and defensibility across projects.

Overall, Relativity enables me to build efficient, repeatable workflows that improve both operational performance and the end-user review experience. Review collected by and hosted on G2.com.

One of the main challenges with Relativity is the complexity that comes with its depth and flexibility. While powerful, the platform can have a steep learning curve for new users, particularly when it comes to administrative functions, workspace configuration, and optimizing workflows.

From an administrative perspective, certain processes—such as large data migrations, index management, or troubleshooting performance issues in Relativity Server—can be time-consuming and require a high level of expertise. Even in RelativityOne, while the infrastructure burden is reduced, there can still be limitations in customization compared to on-prem environments.

Performance can occasionally be inconsistent when working with extremely large datasets or highly complex searches, and some tasks (like mass updates or large productions) can take longer than expected without careful planning and resource allocation.

Additionally, while new AI and automation features are valuable, they can require fine-tuning and user training to fully realize their benefits, which can add to upfront project time.

Overall, while these challenges are manageable, they highlight the importance of experienced administration and thoughtful workflow design to get the most out of the platform. Review collected by and hosted on G2.com.

I think Relativity is a very user-friendly platform. It's easy to get up to speed, although it requires some learning. I appreciate the security in place and the recent developments into Gen AI. Relativity Air, for review and privileged identification, is very valuable for quick case strategy. Review collected by and hosted on G2.com.

I think in general, the pricing is quite expensive compared to other solutions in the market. And I think also probably the learning curve for someone that wants to use the platform as a self-service e-discovery platform. It couldn't work well, you have to also spend a lot of money in the Gen AI solutions that they have recently incorporated. I think in relation to their Gen AI solutions, I can see, for example, competitors using Gen AI across entire datasets and basically getting answers to the questions very quickly about large datasets. This is something I think that the activities team needs to work better. In terms of learning, it is true that there is a lot of learning available. Sometimes, you know, having more support from the team could be very helpful. Relation to the price, I would say a pay-as-you-go model is available in other platforms. Not at the moment, with the current Relativity One subscription. And by the way, when you basically want to use Relativity Air, you need to have already a subscription with your Relativity One. Review collected by and hosted on G2.com.

The majority of the software is intuitive, which makes training users easy. Also, since all of the documentation is available online, with a click of a button, users can learn on their own schedule. When questions arise that can't be solved using the online documentation, the support team is there to assist at all hours of the day/night. Review collected by and hosted on G2.com.

There a still alot of clicks involved to accomplish a task and some key features missing that would make life much easier - such as being able to search the image of the document. Review collected by and hosted on G2.com.

Relativity delivers strong, well-rounded capabilities that make it both powerful and reviewer-friendly. It streamlines workflows so reviewers can quickly find documents within their work streams, apply coding decisions with ease, and use search terms to guide each coder in a way that fits their individual preferences. The intuitive interface and advanced search features help reduce friction during document review, while the robust analytics and automation tools support greater accuracy and efficiency throughout the broader e-discovery process. Review collected by and hosted on G2.com.

Relativity’s main downsides are its complexity and cost. Administrative tasks can be difficult to manage without formal training, and the platform’s premium pricing makes it a heavy investment. Still, those challenges stem from its vast capabilities, which deliver powerful functionality once mastered. Review collected by and hosted on G2.com.