Legora Builds Agentic OS for Legal Workflows with OpenAI
Introduction
In a profession where time and trust are in short supply, Legora is positioning itself as the builder of an agentic operating system tailored for legal work. The Stockholm-based startup, founded in 2023, is embedding OpenAI models directly into everyday legal workflows, aiming to free lawyers from repetitive tasks and expand the scope of what legal teams can accomplish. By integrating AI deeply into both its product and internal operations, Legora reflects a growing trend in legal technology: moving beyond automation to true agentic assistance.
This shift is not just about speed. It is about redefining how legal teams operate, scale, and deliver value. Legora’s approach offers a case study in how AI-native platforms can transform high-stakes, compliance-heavy environments.
Agentic AI at the Core of Legal Operations
Legora’s platform is built on OpenAI models, including ChatGPT and Codex, which power core workflows such as large-scale document review and agentic legal analysis. The company’s CEO and co-founder, Max Junestrand, describes the vision as making every piece of legal work run on its platform. This ambition is rooted in the recognition that legal teams are often overwhelmed by volume, leaving critical but routine tasks like contract review under-resourced or delayed.
By offering AI-driven services on demand, Legora enables legal professionals to scale their output without sacrificing quality. The platform’s ability to analyze thousands of contracts across multiple queries in minutes allows teams to broaden their review scope, surfacing risks that might otherwise go unnoticed in traditional, time-constrained processes.
Internal Transformation Through AI Adoption
Legora’s AI integration extends beyond its product. Internally, the company has adopted ChatGPT Work, Codex, and other AI tools across engineering and legal teams. Jacob Lauritzen, CTO at Legora, highlights how coding agents have accelerated development cycles. Instead of committing engineering resources to a single solution path, teams can prototype and evaluate up to 20 approaches simultaneously, narrowing down to the best option within days.
This rapid iteration has also improved incident response. Where bug diagnosis once required multiple engineers over several hours, AI agents can now scan millions of lines of logs and test multiple hypotheses in parallel, reducing resolution time from hours to minutes. These efficiencies translate directly into faster feature delivery and more responsive customer support.
Legora’s own legal team has experienced similar gains. General Counsel Emma Kadri Bergström notes that AI-assisted NDA review has cut the team’s time spent on those agreements from 20% of capacity to under 1%. That reclaimed bandwidth has allowed the legal function to keep pace with rapid organizational growth, including expansion from three to 18 offices, three financing rounds, and five acquisitions in the past year.
Delivering Measurable Impact for Customers
For enterprise clients, Legora’s AI-driven workflows are delivering quantifiable results. One Fortune 100 customer reported saving over $20 million on external litigation and due diligence, while returning 9.5 hours per lawyer each week for higher-value work. Contract turnaround times have improved by 90% for the same client, enabling faster deal closure and more agile response to business needs.
Alex Fortescue-Webb, Global Head of Legal Engineering at Legora, emphasizes that AI does not simply make legal work faster—it makes it better. By expanding the scope of review, platforms like Legora help legal teams identify and mitigate risks that would typically fall outside manually reviewed contract sets. This broader lens improves the overall quality and defensibility of legal outcomes.
Practical Implications for Legal and Security Teams
Organizations evaluating AI adoption in legal or compliance functions should consider how agentic platforms can complement—not replace—human expertise. Legora’s model demonstrates the value of starting with high-volume, low-complexity tasks like NDA review or initial contract analysis, where AI can deliver immediate ROI while building trust in the technology.
Security and engineering leaders should also take note of how AI can accelerate internal development and incident response. Codex-powered agents, for instance, can reduce mean time to resolution by enabling parallel investigation of system issues. However, maintaining oversight and validation processes remains critical, especially in regulated environments where accuracy and auditability are paramount.
As legal teams scale, integrating AI tools that align with existing workflows—rather than disrupting them—can ease adoption and maximize impact. The key is balancing automation with accountability, ensuring that AI augments legal judgment rather than bypassing it.
Grivyonx Expert Analysis
Legora’s approach illustrates a maturing pattern in enterprise AI: deep integration with existing workflows, internal use of the same tools offered to customers, and a focus on measurable outcomes. For security and DevOps teams, the same principles apply—agentic AI can accelerate development and response, but only if governance, validation, and transparency are baked in from the start. Organizations that treat AI as a collaborative layer, not a black box, will be best positioned to scale responsibly.
Conclusion
Legora’s journey from startup to agentic platform builder shows how AI can reshape legal operations without compromising the rigor and trust that define the profession. As more legal teams adopt AI-native tools, the bar for efficiency, accuracy, and integration will continue to rise. Companies like Grivyonx, which specialize in AI automation, DevSecOps, and cloud security, are well-positioned to support this evolution by helping organizations embed intelligence into every layer of their operations.
