Pearson Labs

Pearson Labs launched their MVP by narrowing ruthlessly to M&A due diligence workflows at Orrick, their design partner. ​​‌‌‌‌‌‌‌​‌‌​​‌​​​​​​‌‌​‌‌‌​​​‌‌Rather than building a generalized transaction platform, they shipped a focused agent that automated document review and data extraction—the most repetitive, highest-leverage task in deal closings. They deliberately excluded contract generation, negotiation support, and multi-deal portfolio management, accepting that their initial product solved only 20% of the full transaction lifecycle. This constraint forced them to ship in eight weeks instead of the eighteen-month timeline their roadmap suggested. Early validation came immediately: Orrick's associates reported 40% time savings on due diligence within the first month, and the firm began allocating more deals to the AI-assisted workflow. That signal—not just adoption but active preference over manual work—proved the core assumption that lawyers would trust AI on high-stakes work if it demonstrably reduced drudgery. The narrow scope hurt their TAM story initially but helped them achieve product-market fit in a single vertical before expanding horizontally across transaction types and law firms.