Legora is positioning an agentic operating system at the center of day-to-day legal work, embedding OpenAI models into routine workflows to speed contract review, broaden due diligence and free lawyers for higher-value tasks. Founded in Stockholm in 2023, the startup frames its platform as a way to make legal work available “on tap,” with a goal that every piece of legal work should be able to run on its system.
The company says that the release of GPT-3.5 opened many of the use cases its team had been exploring, and OpenAI models are now a core component of Legora’s product. Legora uses these models to power agentic legal workflows and large-scale document review, and adapts new model features as they become available. The company also reports using OpenAI tools such as ChatGPT Work and Codex inside its own operations.
Legora presents itself as an AI-native business that applies the same techniques internally as it delivers to customers. Jacob Lauritzen, Legora’s CTO, describes a shift in engineering practice driven by coding agents: teams can prototype multiple approaches in parallel rather than committing all engineering resources to a single idea. That change, Lauritzen says, has let engineers run many investigative paths at once and, in some cases, move from bug report to fix in roughly five minutes by having agents search logs and pursue different explanations simultaneously.
For customers, the practical benefits of this approach are less visible engineering work and more rapid fixes, earlier product testing and faster rollout of ideas. Legora emphasizes that the platform is designed to accelerate iteration and reduce the time legal teams spend waiting on engineering-led changes.
Legora’s internal legal team has also put automated workflows into practice. General Counsel Emma Kadri Bergström described how the company analyzed historically signed NDAs and built a review playbook so the platform can perform an initial pass on incoming agreements and flag terms outside acceptable parameters. Before implementing that workflow, Bergström estimates that reviewing these routine documents consumed around 20% of the team’s capacity; after automation, the figure has dropped to under 1%.
This reclaimed capacity has been significant while the business scales. Over the past year Legora expanded from three offices to 18, completed three financing rounds and made five acquisitions. The legal team has used AI to absorb work that previously would have been outsourced or constrained by capacity—for example, agents that surface contract information during M&A diligence for lawyers to review.
Legora underscores that speed is not the only value proposition: automation can enable broader and higher-quality review. Its Tabular Review workflow can assess thousands of contracts across many questions in minutes, allowing teams to apply deeper scrutiny across larger deal sets and surface risks that manual sampling might miss. The company points to measurable customer outcomes: a Fortune 100 customer reported a 90% reduction in contract turnaround time, more than $20 million saved on external litigation and diligence, and a return of 9.5 hours per lawyer per week for higher-value work. Legora also reports that its internal NDA workflow cut legal-team time on that work by more than 95%.
The company lays out leadership practices for adopting AI in legal functions: leaders should use the tools themselves to drive adoption, start with specific problems, cultivate internal champions, be prepared to rebuild as models improve, and design for trust with explicit evaluation and transparency. These principles are presented as part of a deliberate path to integrate AI capabilities without sacrificing oversight.
Looking ahead, Legora’s CTO anticipates two parallel advances: agents that can undertake longer-running, more autonomous tasks—processing vast volumes of documents overnight—and faster models that enable real-time collaboration between lawyers and AI. If Legora’s roadmap is realized, the company says the agentic operating system will make legal teams less of a bottleneck and more integrated business partners, giving lawyers more time to focus on judgment, strategy and decisions that require human expertise.
Whether customers adopt the full vision will depend on demonstrated outcomes and trust in model-driven workflows, but Legora’s early results and internal use cases provide concrete examples of how embedding OpenAI models into legal processes can change both the pace and scope of legal work.
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