With Devin, Litera cut regression cycles by 90%, delivering new products to customers faster than ever.

Overview

With Devin, Litera is collapsing engineering silos, accelerating delivery, and transforming roles—helping the legal tech leader ship more products, faster, and move at the speed of a startup more than ever before.

Litera, a global leader in legal technology, serves thousands of law firms and legal professionals worldwide with solutions that streamline workflows, improve collaboration, and deliver insights at speed. With more than 50 products in market and $300M+ in annual revenue, the company’s rapid growth has brought complexity in engineering with distributed and specialized teams who all needed to respond to growing demands from a competitive marketplace.

The Challenge: Scaling Without Slowing Down

As Litera grew, engineering work fragmented across specialized groups: quality engineers, DevOps, site reliability, and development. Cross-team dependencies delayed bug fixes, testing, and deployments, and QE bottlenecks emerged. With 130 quality engineers stretched across dozens of products, minor fixes could sit in the backlog for weeks. Meanwhile, competitive pressure demanded faster delivery of features and AI-driven enhancements, leaving QE under constant strain.

When CTO Greg Ingino first saw Devin on stage, he immediately recognized its potential: “This is going to be the future of development.” The question wasn’t if they would adopt agent-based development, but how quickly they could make it a reality.

The Approach: QE Evolution and the Path to Autonomous Engineering

Litera partnered with Cognition to launch QE Evolution, an initiative to reimagine quality engineering through autonomous AI agents. Rather than treating Devin as a coding assistant, Litera embedded specialized agents directly into scrum teams, replacing traditional handoffs with autonomous execution.

Working closely with Cognition, the team deconstructed QE functions—test strategy creation, test case development, test execution, automated script creation, and automation triage—then built specialized Devin workflows for each. The goal was to embed specialized skills directly into agile teams and give every engineering manager a “team of Devins” capable of operating as QE testers, SREs, and DevOps specialists simultaneously.

The deployment of new testing agents has resulted in 40% increased test coverage and 93% faster regression cycles. The team now delivers at 10X the output, a change Ingino described as monumental.

Within 30 days, Litera more than doubled active Devin usage, reaching 90+ engineers and growing daily. QE staff began upskilling into agent builders and optimization specialists, ultimately laying the path for transitions into higher-value roles like SRE and DevOps as Devin expanded to other products.

Beyond QE: Scaling Autonomy Across Engineering

While QE Evolution is the most mature initiative, other teams are pushing Devin into new territory. One developer built an auto-scaling Jira system capable of feeding more than ten tasks to Devin at once, dramatically increasing throughput. Agents now validate feature requests and bug reports for completeness before coding begins, ensuring work is properly scoped. Engineers have even used Devin to create a live adoption and productivity dashboard, tracking sessions, pull request volume, and user trends in real time.

Results: Startup Speed at Enterprise Scale

The impact of Devin is being felt across every corner of Litera’s engineering organization. The company launched five major products in just three weeks ahead of its flagship ILTACON event—a pace so fast that competitors have reached out to ask, “What’s going on over there?” Multi-month projects, like 32-bit to 64-bit conversions, now finish in weeks, and high-volume bug triage runs autonomously end-to-end. Some workflows have delivered 5x productivity improvements, enabling what CTO Greg Ingino calls “250 engineers operating at the speed of a thousand.”

The transformation is as much cultural as it is technical. QE staff are moving from manual testing into higher-value roles such as SRE and DevOps, often as agent builders or optimization specialists. One standout example is Volha, who began as a QE individual contributor and, by leading QE Evolution, rose to acting Director of Quality—now overseeing AI agent development and deployment. To further accelerate adoption, Litera introduced a new role “AI composers”—engineers dedicated entirely to solving problems with Devin and other AI tools, parachuting into teams to disrupt timelines and prove what’s possible. “We’ve seen people not just embrace this technology, but use it to completely reinvent their careers,” says Michele Gough, VP of Quality Engineering.

The acceleration is clear to customers. “In my career, I’ve never launched so many products in such a short time,” says Cynthia Gumbert, Chief Marketing Officer. “The innovation pace is unmatched. It's been fun telling our customers literally every few weeks how much more they can accomplish with Litera's products.”

This momentum has created what Bill Block, VP, Global AI, Innovation & Architecture, calls the “adoption flywheel”: “Once engineers see they can 10x their output—or stop doing the work they hate—they want in.” Today, Devin is no longer seen as a coding assistant, but as a junior developer, SRE, and QE combined—working autonomously and at scale.

Looking Ahead: Next Steps for Engineering with Devin

For Litera, Devin represents more than productivity gains—it's enabling organizational reinvention. By embedding autonomous agents into every part of engineering, the company is accelerating delivery, and redefining what's possible in legal tech. They are now expanding agent integration as part of their PE-backed growth strategy, where rapid innovation and competitive differentiation are critical success factors.

As CTO Greg Ingino puts it: “These results prove that autonomous agents aren't just tools—they're team members. We're not just building software faster; we're redefining what's possible when humans and AI work together seamlessly."

Litera at a Glance