University of Cambridge Investment Management cuts M&A due diligence time 85% with Robin AI Reports

For investment management firms navigating complex M&A, IPO, and asset transactions, legal due diligence is one of the most resource-intensive bottlenecks in deal-making. At University of Cambridge Investment Management, senior in-house lawyers were responsible for manually reviewing large volumes of contracts — spanning real estate, debt financing, and private asset deals — to identify risk clauses and deviations from preferred positions. A single due diligence task across multiple legal texts took approximately 3 hours to complete. Multiplied across engagements, this created compounding delays that slowed deal timelines and consumed disproportionate senior legal capacity at a critical stage.

Cambridge Investment Management partnered with Robin AI as an early development partner to pilot Robin AI Reports, a contract analysis platform powered by large language models and generative AI. The tool — built on Anthropic's Claude 3 model accessed via Amazon Bedrock — runs inside Robin AI's own secure cloud environment, ensuring that sensitive deal documents never leave a controlled infrastructure. Legal teams can run reports across hundreds of contracts simultaneously, configuring a custom list of 'red flag' criteria to surface clauses that deviate from the firm's preferred positions. Rather than reading and annotating contracts individually, lawyers receive a structured report aggregating risk signals across the full contract set — a workflow shift from manual review to AI-assisted exception management. The firm began using the product in April 2024.

The productivity impact was immediate and measurable. Tasks that previously consumed 3 hours of senior lawyer time now average 30 minutes — an 85% reduction in contract analysis time per engagement. Key outcomes include:

• 3 hours → 30 minutes per due diligence task
• Many hours saved per transaction engagement
• Higher accuracy in legal reviews, with AI surfacing deviations that manual review could miss under time pressure

Sam Sturge, Director of Private Assets at Cambridge Investment Management, noted the tool enables the team to conduct legal reviews "in a more accurate way" — suggesting the benefit extends beyond speed to review quality.

• AI contract analysis delivers the greatest ROI in high-volume, time-sensitive workflows like M&A due diligence, where manual review creates deal-cycle bottlenecks.
• Configurable 'red flag' logic — mapped to an organization's own preferred positions — makes AI output immediately actionable rather than generic.
• Data residency within a vendor's private cloud environment is a viable path to enterprise adoption where data sovereignty concerns would otherwise block deployment.
• Early-adopter partnerships give in-house legal teams meaningful influence over product design, ensuring tools fit actual workflows rather than theoretical ones.