“Projects that practically manage themselves.”
Jira is a cloud and data center platform for project, task, and work management.
In its AI-enabled form, Jira combines classic planning, tracking, and workflows with Rovo AI, for example to create work items from Slack/Teams, summarize content, break down complex work into tasks, and provide agentic assistance and search across the Teamwork Graph.
Jira / Atlassian Intelligence
Projects that practically manage themselves
Location: Australia ⓘ Global HQ: Level 6, 341 George Street, Sydney, NSW 2000, Australia. Service provider according to the legal notice: Atlassian Pty Ltd, c/o Atlassian, 350 Bush St, Floor 13, San Francisco, CA 94104, USA.
Premium Everything in Standard plus unlimited storage, 99.9% SLA, 24/7 Premium Support, Project Archiving, Admin Insights, IP Allowlisting, Sandbox, Release Tracks, more automation, and Atlassian Intelligence. Other Enterprise Enterprise scaling, centralized administration, advanced security/compliance features, Enterprise support, and stronger data/AI control.
Marketplace / Rovo / Atlassian Intelligence Additional apps, AI features, agents, search, and automations depending on product and license scope.
Target audience
Jira is aimed at teams that need to plan, prioritize, and execute work in a structured and traceable way. Its official positioning includes software development, marketing, and general project management; with Jira AI and Rovo, Atlassian also targets organizations that want to use contextual search, agentic workflows, and AI-supported automation directly within the flow of work. The tool is particularly relevant for product teams, engineering, PMO, operations, and growing companies with multiple stakeholders, approvals, and cross-functional processes.
Outstanding features
What stands out most is the integration of classic work management with AI functions directly in Jira. Rovo can create work items from Slack or Microsoft Teams, generate or rewrite descriptions and comments, condense context from work items, and automatically correct JQL errors. In addition, there are agents, search, and Teamwork Graph context, making Jira not just a task management tool, but also a way to leverage information from the Atlassian ecosystem and connected tools.
Key use cases
Jira is primarily used for project planning, agile software development, sprint and backlog management, cross-team coordination, and operational status tracking. The AI functions add further use cases: rapid work capture from chats, automatic summarization of long ticket histories, content refinement of descriptions, search across distributed team knowledge, and agentic support for recurring project tasks. In enterprise environments, Jira is also positioned as a scalable governance and delivery platform with multiple sites, sandboxes, and centralized administration.
Usage & notes
For a productive start without AI, Jira in its core form is already sufficient in the Free or Standard tier for simple team scenarios. As soon as data protection, auditability, support, sandbox, IP allowlisting, or AI functions become relevant, Premium or Enterprise is generally the more robust level in practice. From a data protection perspective, it is especially important to note that Rovo can, by default, transfer data to third-party LLMs outside the current site; organizations with stricter requirements should actively configure Data Residency and check whether the Atlassian-hosted LLMs available on request for Cloud Enterprise fit their own risk profile. In addition, the announced change to the data contribution rules effective August 17, 2026 is relevant for data protection and compliance teams.
| Target audience | Assessment |
|---|---|
| Software teams | Highly suitable – for Scrum/Kanban, backlogs, tickets, roadmaps, releases, bugs, reports, and AI-supported project work. |
| IT, product, and business teams | Highly suitable – for task management, forms, workflows, automations, and cross-team planning. |
| SMEs | Highly suitable – Jira Free/Standard/Premium covers small to growing teams. |
| Large enterprises | Highly suitable – Enterprise offers scalability, admin controls, Data Residency, governance, and enterprise support. |
| Non-technical teams | Suitable – Jira now extends well beyond pure software development, but setup and governance require structure. |
| Privacy-sensitive organizations | Conditionally to well suited – Data Residency is available, but AI/data contribution settings must be actively reviewed. |
Hosting & Data
1) On-prem / local hosting
Meaning: The company operates the solution on its own hardware or within its own infrastructure. In the strictest sense, not only the application runs locally, but ideally the model as well.
2) Private cloud / data center
Meaning: The solution runs in a dedicated or more clearly separated cloud environment, often with a hosting provider or hyperscaler, but in a German data center or in a particularly controlled environment.
3) EU SaaS / managed
Meaning: The provider operates the solution itself as a service. The company uses the tool as a ready-made cloud service, ideally with EU data residency.
4) Hybrid
Meaning: One part of the processing remains internal / local / in a private cloud, while another part runs in an external cloud or EU SaaS.
5) AVV / DPA
Meaning: This is the data processing agreement or Data Processing Addendum. It governs that the provider processes personal data on behalf of the customer and is bound by the customer's instructions.
6) No training
Meaning: The provider does not use your prompts, uploads, attachments, chat histories, or outputs for training or improving the general model — ideally excluded by contract.
7) Open-source / transparency path
Meaning: There is a path toward greater technical transparency and sovereignty, for example through:
- open models
- documented components
- self-hostable parts
- traceable architecture
- export / switching options
| On-prem / local hosting | ⚠️ |
| Private cloud / data center | ⚠️ |
| EU SaaS / Managed | ✅ |
| Hybrid | ❓ |
| DPA / AVV | ✅ |
| No training on customer data | ⚠️ |
| Open source / transparency path | ⚠️ |
On-prem / local hosting: partially
Jira can be operated as a self-managed product via Jira Data Center on the customer’s own hardware or through IaaS providers. However, the website does not clearly state that Atlassian Intelligence/Rovo AI runs entirely on-premises on the customer’s own hardware.
Private Cloud / Data Center: Partially
With Jira Data Center, operation is possible within a controlled, proprietary, or dedicated infrastructure. Regarding the AI features, the website does not clearly describe a dedicated private cloud configuration specifically for Atlassian Intelligence within the EU/EEA.
EU SaaS / Managed: Covered
Atlassian documents EU data residency for cloud products and explicitly for Rovo as well. The EU region corresponds to Europe (Frankfurt) and Europe (Dublin).
Hybrid: Indirect / Not Available
The website does not specifically describe an explicit hybrid deployment model for the AI features in which part of the system runs locally or on private infrastructure and another part runs as a managed service.
DPA / AVV: Covered
A DPA/AVV is documented on the website. Atlassian also describes obligations regarding subprocessors and notification of changes.
No training: partially
For Rovo, the website states that LLM providers do not use inputs and outputs to improve their own services. At the same time, Rovo’s list of subprocessors also includes infrastructure for machine learning, processing, and training; thus, a general, comprehensive exclusion of any training use at all levels is not fully and consistently substantiated.
Open Source / Transparency Path: Partial
Atlassian states that Rovo uses open-source models such as Mistral and LLaMA, as well as a mix of open-source, self-hosted, and third-party-hosted models. However, a true open-source or self-hostable transparency path for the overall Jira or Atlassian Intelligence product is not fully described on the website.
Data Processing
The website indicates mixed data processing for the cloud and AI features. Atlassian offers EU data residency and specifies Frankfurt and Dublin as the regions for the EU. For Rovo, when data residency is enabled, the relevant app data set remains in the selected region. At the same time, the list of subprocessors for Atlassian Intelligence and Rovo indicates AI service providers and processing locations outside the EU/EEA as well, particularly in the U.S.; for Google Vertex AI, EEA locations in Belgium, the Netherlands, and Finland are also listed. Jira Data Center is available for self-managed operation, but the website does not specify it as a fully on-premises end-to-end AI solution.
Conclusion
For the EU/EEA, Jira with Atlassian Intelligence can best be classified as conditionally GDPR-compliant: It offers strong compliance components, EU data residency, and a self-managed option for Jira. However, the situation regarding AI processing itself remains complex because the website documents both international processing and multiple external AI sub-processors, and does not clearly demonstrate consistently purely European or fully on-premises AI operations.
Sources
- https://www.atlassian.com/de/software/rovo/guides/admin-guide/rovo-data-usage-privacy
- https://www.atlassian.com/trust/ai
- https://support.atlassian.com/security-and-access-policies/docs/understand-data-residency/
- https://www.atlassian.com/legal/sub-processors
- https://www.atlassian.com/software/jira/guides/more/jira-hosting
- https://www.atlassian.com/trust/privacy/how-we-handle-your-data
- https://www.atlassian.com/dam/jcr%3A1595b3d1-3b51-4435-84c3-e493d35f96ba/Atlassian%20Customer%20DPA_September%202022.pdf?cdnVersion=797
- https://www.atlassian.com/trust/compliance
- https://www.atlassian.com/trust/compliance/resources/soc2
- https://www.atlassian.com/legal/privacy-policy?tid=312074573
| On-prem / local hosting | ⚠️ |
| Private cloud / data center | ⚠️ |
| EU SaaS / Managed | ✅ |
| Hybrid | ❓ |
| DPA / AVV | ✅ |
| No training on customer data | ⚠️ |
| Open source / transparency path | ⚠️ |
On-prem / local hosting: partially
Jira can be operated as a self-managed product via Jira Data Center on the customer’s own hardware or through IaaS providers. However, the website does not clearly state that Atlassian Intelligence/Rovo AI runs entirely on-premises on the customer’s own hardware.
Private Cloud / Data Center: Partially
With Jira Data Center, operation is possible within a controlled, proprietary, or dedicated infrastructure. Regarding the AI features, the website does not clearly describe a dedicated private cloud configuration specifically for Atlassian Intelligence within the EU/EEA.
EU SaaS / Managed: Covered
Atlassian documents EU data residency for cloud products and explicitly for Rovo as well. The EU region corresponds to Europe (Frankfurt) and Europe (Dublin).
Hybrid: Indirect / Not Available
The website does not specifically describe an explicit hybrid deployment model for the AI features in which part of the system runs locally or on private infrastructure and another part runs as a managed service.
DPA / AVV: Covered
A DPA/AVV is documented on the website. Atlassian also describes obligations regarding subprocessors and notification of changes.
No training: partially
For Rovo, the website states that LLM providers do not use inputs and outputs to improve their own services. At the same time, Rovo’s list of subprocessors also includes infrastructure for machine learning, processing, and training; thus, a general, comprehensive exclusion of any training use at all levels is not fully and consistently substantiated.
Open Source / Transparency Path: Partial
Atlassian states that Rovo uses open-source models such as Mistral and LLaMA, as well as a mix of open-source, self-hosted, and third-party-hosted models. However, a true open-source or self-hostable transparency path for the overall Jira or Atlassian Intelligence product is not fully described on the website.
Data Processing
The website indicates mixed data processing for the cloud and AI features. Atlassian offers EU data residency and specifies Frankfurt and Dublin as the regions for the EU. For Rovo, when data residency is enabled, the relevant app data set remains in the selected region. At the same time, the list of subprocessors for Atlassian Intelligence and Rovo indicates AI service providers and processing locations outside the EU/EEA as well, particularly in the U.S.; for Google Vertex AI, EEA locations in Belgium, the Netherlands, and Finland are also listed. Jira Data Center is available for self-managed operation, but the website does not specify it as a fully on-premises end-to-end AI solution.
Conclusion
For the EU/EEA, Jira with Atlassian Intelligence can best be classified as conditionally GDPR-compliant: It offers strong compliance components, EU data residency, and a self-managed option for Jira. However, the situation regarding AI processing itself remains complex because the website documents both international processing and multiple external AI sub-processors, and does not clearly demonstrate consistently purely European or fully on-premises AI operations.
Sources
- https://www.atlassian.com/de/software/rovo/guides/admin-guide/rovo-data-usage-privacy
- https://www.atlassian.com/trust/ai
- https://support.atlassian.com/security-and-access-policies/docs/understand-data-residency/
- https://www.atlassian.com/legal/sub-processors
- https://www.atlassian.com/software/jira/guides/more/jira-hosting
- https://www.atlassian.com/trust/privacy/how-we-handle-your-data
- https://www.atlassian.com/dam/jcr%3A1595b3d1-3b51-4435-84c3-e493d35f96ba/Atlassian%20Customer%20DPA_September%202022.pdf?cdnVersion=797
- https://www.atlassian.com/trust/compliance
- https://www.atlassian.com/trust/compliance/resources/soc2
- https://www.atlassian.com/legal/privacy-policy?tid=312074573
Strengths & weaknesses at a glance
| Strengths | Weaknesses |
|---|---|
| • Very strong integration into Atlassian workflows and integrations | • The full AI value-add is officially documented primarily for Cloud Premium / Enterprise; for Data Center there is no equivalent native AI deployment. |
| • AI directly in the project flow instead of as a separate tool | • Standard/Free users get significantly fewer governance, support, and AI capabilities. |
| • Good scalability from small teams to enterprise | • When using AI, data processing may by default take place outside the current site and in some cases outside the EU. |
| • Data Residency, Audit Logs, SLA, Sandbox, and IP allowlisting for cloud customers | • Data Residency covers only in-scope data; without pinning, Atlassian can move data dynamically across AWS regions. |
| • For enterprise, additionally centralized governance and multi-instance operation. |
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GDPR-compliant usage possible?
For users throughout the EU/EEA, using Jira with Atlassian Intelligence in compliance with the GDPR is generally possible, but only under certain conditions. Positive aspects include the documented privacy policy, a DPA/AVV, a list of subprocessors, the explicit GDPR commitment, EU data residency for Rovo, and self-managed hosting for Jira Data Center. At the same time, the website indicates that processing for Atlassian Intelligence/Rovo features may also take place outside the EU/EEA—particularly in the U.S.—and that not all components are equally EU-resident. Therefore, to ensure compliant GDPR usage within the EU/EEA, the appropriate deployment model, data residency configuration, and a review of international data transfers are required.
Positive
Atlassian refers to its privacy policy, DPA/AVV, security measures, and list of subprocessors. For Rovo, EU data residency is documented, and Jira can also be operated as a self-managed variant via Jira Data Center on the customer’s own hardware or with IaaS providers. Rovo also mentions SOC 2 and ISO 27001, as well as the statement that LLM providers do not use inputs and outputs to improve their own services.
Negative
The website documents subprocessors and processing locations for Atlassian Intelligence and Rovo that are outside the EU/EEA, including the U.S. Furthermore, data residency is not equally available for all related components; according to the website, it is not available for Forge apps built in Studio. The website does not consistently demonstrate that AI functions operate exclusively within the EU.
Server Location
For cloud data residency, Atlassian lists the regions Europe (Frankfurt) and Europe (Dublin) for the EU. Data residency is available for Rovo. However, the list of subprocessors also includes the U.S. and, in some cases, EEA locations such as Belgium, the Netherlands, and Finland for AI-related processing, depending on the provider. For Jira Data Center, customers can choose the hosting environment themselves.