Trust at scale doesn't happen by accident. Our CTO, Joel Hron, shares key lessons from our journey to one million CoCounsel users and explains why AI for legal, tax, and compliance must be purpose-built for trust from day one.
A few days ago, we shared that one million customers have used CoCounsel. Milestones are easy to celebrate. Earning trust at that scale is not. When professionals rely on AI for legal, tax, risk, and compliance work, accuracy is not optional. Accountability is not a feature. It is the standard. At one million users, AI is no longer a pilot. It is infrastructure. Trust does not emerge over time. It has to be engineered into the models, workflows, and the way systems are deployed from the start. That has been our focus from day one. If you are interested in how we think about building AI for high-stakes professional work, I shared more here: https://lnkd.in/gQErWqif
* Amir Wahib did invent a new techniques in portrait called " the 9 lines method ". * " The 9 Lines Method " Its content is to decode and decrypt facial lines and read fingerprints * And through drawing portraits of many characters, and for 40 years, I discovered that just as every person has a fingerprint that distinguishes him and is unique and not repeated, it has no equivalent or similarity to another person, it became clear that every line of a person's face is a unique "fingerprint" and the evidence is that there is no similarity between one person and another to the point that there are differences between "twins". * All lines of the human body are a distinctive and unique mark. * Every person has lines of eyes, nose, mouth and chin that are not repeated and differ from one person to another and are what distinguish him and determine his appearance. * This is what I discovered and I did know how to read it , which is reading this " fingerprint" and drawing only those lines " face lines " and their number is 9 lines , 6 for the eyes and a nose line and a mouth line and a chin line , that's why I call it the 9 lines method.