Traditional eDiscovery tools have predominantly been designed to handle structured data sources such as databases and emails. However, the burgeoning production of unstructured data, much of which resides within platforms like Confluence and Jira, is challenging the adaptability of these tools. Indeed, it’s estimated that a staggering 90% of all enterprise data is unstructured, as indicated by an IDC report.
Given the growing ubiquity of Confluence and Jira in workplaces worldwide, these platforms provide a treasure trove of unorganized data, ranging from team discussions to project documentation such as wikis and screenshots. This reality calls for new strategies and technologies for eDiscovery and compliance.
Our colleagues at Onna have thus produced a comprehensive guide that outlines how to effectively extract Confluence and Jira data for eDiscovery and compliance purposes. The guide dives into various pertinent topics surrounding eDiscovery in Confluence and Jira:
- The challenges of collecting Confluence and Jira data
- Data retention strategies in Confluence and Jira
- Identifying the best Confluence and Jira plans for eDiscovery
- How to establish a successful eDiscovery strategy with Confluence and Jira
For any legal professional navigating the murky waters of eDiscovery in Confluence and Jira, this guide promises to be an invaluable resource. Get access to the complete guide here.
To summarize, unstructured data produced in platforms like Confluence and Jira pose eDiscovery headaches. The creation of tools and strategies that can adeptly handle this unstructured data become crucial in bridging the eDiscovery gap in the ever-evolving digital workplace.