Hanzo vs Relativity Legal Hold

Hanzo is a platform for enterprise legal and compliance teams that find, preserve, collect, and analyze data from collaboration systems, websites, and social media. Its work supports audits, investigations, data subject access requests, and litigation. Chronicle preserves dynamic website and social content, including interactive calculators, authenticated journeys, and filtered views. Illuminate supports discovery and review across email and collaboration platforms and can preserve information in place across Slack, Microsoft Teams, Google Workspace, Jira, and Confluence. Spotlight AI interprets context, sentiment, and relationships while recording why content was surfaced. Customers can request one-time or continuous collections and apply filters to limit overcollection. Listed sources include Asana, GitHub, email, web, social media, and internal SaaS tools; automated redaction is available. Hanzo says stored information uses unique 256-bit encryption keys and reports SOC 2 Type 2 certification in October 2019. Pricing is on request, with self-hosted and web platforms.

Relativity Legal Hold helps organizations identify and preserve relevant data when litigation is expected. It sends hold notices, interviews custodians, follows up with people who have not responded, and tracks their replies. Reports can document communications with custodians and other relevant parties. The product preserves data in place from major productivity platforms in a secure Azure environment, with Microsoft 365, Google Vault, and Slack listed as integrations. A setup wizard assists with choosing custodians and data sources, and the service provides workflow updates and error alerts. Relativity says analytics and scoping criteria can reduce data volume by up to 80%. Preserved data can move to RelativityOne for review through Collect as a matter or investigation proceeds. Legal Hold runs in Relativity workspaces; full use requires setup of access, email, the custodian portal, and preservation settings. Pricing is provided on request, and the product is licensed separately from the data volume commitment. It is available via web and API.