In Conversation NIMRITA DADLANI Founder, Pivot

Family law is one of the most emotionally charged and administratively complex areas of the justice system, yet it remains one of the least supported by meaningful technology.

- By Rishini Weeraratne

For Nimrita Dadlani, Founder of Pivot, this gap became painfully real during her own divorce, when she saw how fragile evidence handling is and how overwhelming the process can be for people already in crisis.

Pivot was built from that lived experience. It is an auditable, AI-powered evidence intelligence platform designed to help family law teams make sense of chaotic, fragmented case material. Nimrita’s long-term mission is to bring clarity, fairness and humanity to a system that urgently needs it.

What inspired you to build Pivot, and why start with family law as the first vertical?

As a British South Asian founder, it was important to me that Pivot was not simply another AI company but a product that improves fairness for real families going through difficult transitions. The idea emerged during my own divorce, including a period of legal self-representation, which exposed how fragile evidence handling is in the UK. I often felt uninformed and, at times, completely lost. Navigating the system required a coach, a therapist and a lawyer. Realistically, I also needed a PA because the administrative burden was overwhelming. Family law is emotionally demanding, highly evidence heavy and historically underserved by technology. During my own proceedings, I faced thousands of WhatsApp messages and documents that all needed to be manually sifted. When cases involve complexity or high conflict, that workload quickly becomes unsustainable. I was drawn to family law because people entering the system are often traumatised, and the process can compound that trauma. The issue is not the law itself but the way evidence is handled. If we can prove that trustworthy, auditable AI works in family law, we can expand horizontally into other evidence-heavy areas using the same core system.

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