Legora's Agentic Operating System for Legal Work: Technical Overview and Capabilities

Legora is developing an agentic operating system for legal work, designed to integrate AI directly into the daily workflows of legal professionals. This platform leverages advanced OpenAI models to automate tasks ranging from large-scale document review to complex contract analysis, addressing the critical issue of time scarcity within legal teams.

The Vision: An Agentic Operating System for Legal Work

Legora, founded in 2023, aims to provide an 'agentic operating system for legal work' by addressing the time constraints faced by legal teams. The company's core premise is that legal teams are often over-burdened with high-volume, repetitive tasks, preventing them from focusing on higher-value work. Legora utilizes OpenAI technology, including GPT-3.5, as a foundational model provider to power its platform's core workflows, enabling advanced agentic legal work and large-scale document review.

AI-Native Engineering and Development

Legora operates as an AI-native company, applying AI not only to its customer-facing product but also to its internal operations. The company utilizes tools like ChatGPT Work and Codex to fundamentally change its engineering lifecycle.

Engineering Efficiency Gains

By implementing coding agents, Legora's engineering team has achieved significant development speed increases:

  • Rapid Prototyping: Teams can prototype numerous solutions simultaneously, exploring up to 20 different approaches to a problem within days before committing engineering resources.
  • Accelerated Debugging: Coding agents can analyze millions of lines of logs and pursue multiple potential causes for a product issue concurrently, reducing the time from bug report to working fix to approximately five minutes.

These internal efficiencies translate into faster problem resolution and earlier testing of new ideas for Legora's customers.

Transforming Internal Legal Operations

Legora's own legal department has been transformed by the platform, demonstrating the immediate impact of AI on professional capacity. General Counsel Emma Kadri Bergström noted that AI has drastically reduced the time spent on routine tasks.

Case Study: Non-Disclosure Agreements (NDAs)

  • Before AI: Reviewing NDAs consumed approximately 20% of the legal team’s total capacity.
  • After AI: The same task is now handled by a playbook that allows Legora to perform a first pass on incoming NDAs, highlighting terms outside acceptable parameters, reducing the capacity consumption to under 1%.

This reclaimed capacity is crucial for supporting rapid company growth, which has included expanding from three offices to 18, completing three financing rounds, and executing five acquisitions in the past year.

Expanding Scope and Quality for Customers

For external customers, the value proposition extends beyond speed; AI increases the scope and quality of legal analysis. Global Head of Legal Engineering, Alex Fortescue-Webb, highlights the impact on due diligence.

Enhanced Due Diligence Capabilities

Traditional due diligence is often constrained by time and cost, forcing teams to focus only on the most critical contracts. Legora's Tabular Review workflow overcomes this limitation by:

  • Analyzing thousands of contracts across multiple questions in minutes.
  • Allowing lawyers to apply detailed scrutiny much more broadly.
  • Surfacing risks that might have been missed outside of a manually reviewed subset.

Measurable Customer Outcomes

One Fortune 100 customer utilizing Legora has reported the following results:

  • Contract Turnaround Time: Reduced by 90%.
  • Financial Savings: Saved more than $20 million on external litigation and diligence.
  • Productivity: Returned 9.5 hours per lawyer each week for higher-value work.

Furthermore, legal teams can integrate Legora's capabilities directly into their existing workflows via the Legora plugin for ChatGPT.

The Future: Autonomy and Real-Time Collaboration

Legora's roadmap focuses on two parallel advancements in AI application: increased autonomy and enhanced interaction.

Next Frontiers in Legal AI

  1. Long-Running Autonomy: Jacob Lauritzen, CTO of Legora, anticipates agents tackling tasks requiring vast context and autonomy, such as running due diligence across millions of pages overnight, with results ready for review the following morning.
  2. Real-Time Collaboration: As models become faster, the experience is shifting from AI as a task-completing tool to a real-time collaborator, allowing lawyers and AI to work back and forth on contracts and advice.

Leadership Principles

Legora leadership has outlined several key lessons for building successful AI-native products:

  • Lead by using: Organizations see a 3x median usage increase when over 75% of leaders actively use the product.
  • Start with the problem: Define what people need to accomplish before determining where AI can improve the workflow.
  • Design for trust: Incorporate evaluation, testing, and transparency into the experience from the outset.

Ultimately, Legora's goal is to transform legal teams from organizational bottlenecks into strategic business partners, enabling them to take on work that was previously impossible due to capacity constraints.

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