Case Study: Lyft scales privacy reviews and proves speed with TerraTrue

Lyft automates 200+ privacy reviews a year with TerraTrue

Lyft, a major rideshare company, faced the challenge of scaling its privacy review process with a small team. Manual reviews conducted in Google Docs were inconsistent and time-consuming, preventing the privacy team from building deep relationships with product and engineering teams and threatening to slow down product launches as the company prepared to go public. They sought a solution from vendor TerraTrue to automate and streamline their operations.

By implementing TerraTrue's privacy operations platform, Lyft automated its review triage to route only high-risk launches to the team. The solution integrated directly into Jira and provided SLA tracking. This resulted in over 200 consistent reviews per year, proved that privacy was not a bottleneck for engineering, and enabled the small team to focus on strategic, high-risk efforts. TerraTrue provided the out-of-the-box tool needed to achieve this scale without high maintenance costs.

Lyft