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Legora reviewed 41 documents in minutes with GPT-6 Astra

Legal operating system Legora used OpenAI's GPT-6 Astra to review 41 financial documents in minutes. The Agent successfully found all four planted errors and improved performance by nearly 40% on this workflow, according to the company.

Legora, an agentic operating system for legal and professional work used by over 100,000 professionals, recently tested OpenAI's GPT-6 Astra on a tedious financial-statement tie-out workflow. According to Legora, financial tie-outs traditionally require an entire evening or even days to check figures in draft accounts against supporting schedules. Utilizing GPT-6 Astra, the Legora Agent completed the review across 41 documents in a single run within minutes. Legora evaluated the model using its Benchmark for Agentic Reasoning, reporting that GPT-6 Astra improved performance by nearly 40% on this specific financial workflow, while average improvements across all benchmark tasks were about 3%. In testing, the Agent successfully surfaced breaks, checked every balance against its supporting schedule, and recorded each check. Notably, the Agent found all four errors planted by Legora, which included a £500,000 gap hidden in the revenue note. The company notes that the system retains checks from previous models while completing roughly 50 additional ones, delivering a faster and more complete first pass. Legora emphasizes that while the Agent handles the exhaustive comparison, human experts remain responsible for the final judgment calls. This human-in-the-loop methodology supports Legora's expansion into audit, tax, compliance, and risk workflows.

Why it matters

This case study demonstrates how advanced LLMs can drastically accelerate tedious professional workflows like financial tie-outs while maintaining human oversight. It highlights measurable performance gains in complex agentic tasks across legal and financial sectors.

Topic dossiers OpenAI