Evyatar Ben Artzi · Person in New York Tech

Overview

Evyatar Ben Artzi is Co-Founder & CEO at Darrow AI[1]. Ben Artzi holds a Bachelor of Laws in Law & Cognitive Science from The Hebrew University of Jerusalem[11] and has served in leadership roles across legal and educational institutions[2]. Prior experience includes positions as Judicial Law Clerk at the Supreme Court of Israel and the Center of Arbitration and Dispute Resolution[4][5], Legal Intern at the Israeli Ministry of Justice's High Court of Justice Department[8], and Head of Operations in the Israeli Defense Forces[10]. Ben Artzi has also worked as Research Assistant and Teaching Assistant at The Hebrew University of Jerusalem[6][7] and served as Editor-in-Law for Mishpatim Law Review Online[9]. Ben Artzi's stated focus combines legal and technological expertise to improve legal systems and societies through artificial intelligence applications[2].

Profile introduction

Source excerptLinkedIn [2]

I seek to harness my legal and technological experience to improve legal systems and societies, empowering people to make better decisions and become the authors of their own story. I have assumed leadership roles in the collaborative and dynamic teams I have led or worked with, whether as a Combat Officer in the IDF, a clerk at the Israeli Supreme Court, as Co-Founder of Yahav - a progressive education program – or as Co-Founder & CEO at Darrow, using AI to unearth the legal implications of real-world events.

Career history

Co-Founder & CEOJan 2020 to presentDarrow
Judicial Law Clerk2019 to 2020The Center of Arbitration and Dispute Resolution (CADR)
Judicial Law Clerk2018 to 2019The Supreme Court of Israel
Research Assistant2016 to 2018The Hebrew University of Jerusalem
Teaching Assistant2016 to 2017The Hebrew University of Jerusalem
Legal Intern – High Court of Justice Department2016 to 2017Israeli Ministry of Justice
Editor-in-Law2016 to 2017Mishpatim Law Review Online
Head Of Operations2012 to 2014Israeli Defense Forces
Co-Founder & CEODarrow AI

Education

Bachelor of Laws - LL.B, Law & Cognitive Science2014 - 2018The Hebrew University of Jerusalem

Insights & ideas

The through-line

Across every appearance, Ben Artzi's project is framed as building a "justice intelligence platform" that uses generative AI, legal experts, and technologists to surface legal violations that would otherwise stay buried in unstructured, real-world data [2]. The recurring idea is that legal tech has historically meant document management or narrow discovery tools, and that the arrival of more powerful AI opens a different opportunity: finding the cases and the wrongdoing in the first place, before a client or a firm ever goes looking [1][4][5]. The consistent thread is a shift from reactive practice, where lawyers wait for cases to come to them, to a proactive one, where data patterns reveal harm and its victims ahead of time [4][5]. This is discussed under the banner of "frictionless justice," a phrase used to describe how AI can be woven into the practice of law itself, not just its back office [2].

On uncovering injustice through data

Darrow's mission, as described in these conversations, is to uncover injustice by scanning real-world data for patterns that indicate harmful events, whether in financial misconduct, environmental protection, or pharmaceuticals [3][4][5]. The platform is presented as combining generative AI with legal experts and technologists specifically to detect legal violations that are otherwise hard to see because the underlying data is scattered and messy [2][4][5]. The emphasis is on pattern recognition across large, real-world datasets, on the premise that harm leaves traces if you know where and how to look [4][5].

On the state of legal data

A recurring practical point is that the data lawyers need is often "dirty," unstructured, and not built to serve the purposes lawyers want to put it to [4][5]. The argument is that a properly trained AI system can take these disorganized fields and turn them into usable information, which is treated as the precondition for everything else Darrow does, from spotting harmful events to sizing a case [4][5].

On finding and evaluating cases before they arrive

Ben Artzi's discussions describe a system that does more than flag potential wrongdoing: it is described as determining the number of potential victims, predicting the likely legislative or legal outcome, and assessing the financial value of a case, so that firms can locate and organize potentially important matters [4][5]. The stated goal is to end the practice of firms "chasing their tail" or "casting the widest net possible" in search of viable cases, and instead let data-driven signals do that work upfront [4][5]. The framing throughout is that producing strong results for clients starts before a case ever walks through the door, meaning the value Darrow offers is front-loaded into case selection and sizing rather than added after a matter is already underway [4][5].

On integrating AI into law firms

Separately from what the technology can find, the conversations touch on how law firms actually adopt and integrate AI into practice, and on the idea that lawyers need to "tread lightly" even as AI becomes increasingly important to the field [2][4][5]. This caution sits alongside the more expansive claims about AI's potential, suggesting a two-sided view: real opportunity in using AI to identify and win better cases, paired with an acknowledgment that adoption inside law firms has to be handled carefully [2][4][5].

Takeaways

Legal tech's next opportunity, in this view, is not document management but using AI to discover legal violations and harmful events directly from real-world data [1][2].
Darrow's platform is built to determine potential victim counts, predict legislative outcomes, and assess the financial value of a case before firms commit resources to it [4][5].
Much of the underlying legal and real-world data is described as dirty and unstructured, and turning it into usable information is treated as the foundational step [4][5].
The stated aim is to stop firms from "chasing their tail" or casting the widest possible net for new matters, replacing that with data-driven case targeting [4][5].
"Frictionless justice" is used to describe integrating AI directly into the practice of law, combining generative AI with legal experts and technologists [2].
Even while advocating for AI's growing importance in law, the guidance to firms is to tread carefully in how it gets adopted [2][4][5].

Media & appearances

Reinventing ProfessionalsApple Podcasts2024-09-24
"Frictionless Justice" and Integrating AI Into the Practice of LawI spoke with Evyatar Ben Artzi, the Co-Founder and CEO of Darrow, a justice intelligence platform that leverages generative AI, legal experts, and technologists to uncover legal violations. We discussed “frictionless justice,” how law firms integrat
The Georgian Impact Podcast | AI, ML & MoreApple Podcasts2024-05-02
Redefining legal impact with the team at DarrowWhen we think about legal tech software, we think about value add discovery or document management. But with the explosion of AI, new opportunities are emerging. We're going to share a story about how technology can help lawyers hel
Un-Billable HourApple Podcasts2023-09-26
Using AI To Land Better Cases? Why Not?Business Management Strategies for the Busy Lawyer Around the Community Table: Let’s talk about production and winning cases. It’s not only about acquiring new clients, but also acquiring new clients that can deliver results. A potential breakthrough using Artificial Intelligence, AI. How do we frame, understand, and implement the best of AI’s capabilities? Lawyers need to tread lightly, even as AI is becoming increasingly important in the field of law. Data is often “dirty,” unstructured, not built to serve. A properly “trained” AI program organizes these fields into useful information. Guests Evyatar Ben Artzi and Gila Hayat are co-founders of Darrow.AI. Darrow's AI-powered Justice Intelligence Platform scans real world data to detect harmful events, determine the number of potential victims, predict the legislative outcome, and assess the financial value of a case to help firms locate and organize potentially important cases. No more chasing your tail or casting the widest net possible. Across the law, from financial misconduct to environmental protection to pharmaceuticals, there is data out there that creates patterns if you know where and how to look. Properly managing raw data may allow firms to find new clients and tell better stories more efficiently. Producing results starts before a case even walks through the door. Mentioned in this Episode: Join The Un-Billable Hour Community Table Darrow.ai Darrow blog
Legal Talk Network - Law News and Legal TopicsApple Podcasts2023-09-26
Using AI To Land Better Cases? Why Not?Let’s talk about production and winning cases. It’s not only about acquiring new clients, but also acquiring new clients that can deliver results. A potential breakthrough using Artificial Intelligence, AI. How do we frame, understand, and implement the best of AI’s capabilities? Lawyers need to tread lightly, even as AI is becoming increasingly important in the field of law. Data is often “dirty,” unstructured, not built to serve. A properly “trained” AI program organizes these fields into useful information. Guests Evyatar Ben Artzi and Gila Hayat are co-founders of Darrow.AI. Darrow's AI-powered Justice Intelligence Platform scans real world data to detect harmful events, determine the number of potential victims, predict the legislative outcome, and assess the financial value of a case to help firms locate and organize potentially important cases. No more chasing your tail or casting the widest net possible. Across the law, from financial misconduct to environmental protection to pharmaceuticals, there is data out there that creates patterns if you know where and how to look. Properly managing raw data may allow firms to find new clients and tell better stories more efficiently. Producing results starts before a case even walks through the door. Mentioned in this Episode: Join The Un-Billable Hour Community Table Darrow.ai Darrow blog
20MinuteLeadersApple Podcasts2021-11-09
Ep632: Evyatar Ben Artzi | Co-Founder & CEO, Darrow.aiEvyatar Ben Artzi, or Evya, is the Co-Founder & CEO of Darrow, an AI startup on a mission to uncover injustice. Evya served as a Combat Officer in a special unit of the IDF and later on went to study Law & Cognitive Science at the Hebrew University of Jerusalem. He clerked at the Israeli Supreme Court for Justice Uzi Vogelman, where he met co-founder Elad Spiegleman. Evya is also one of the founders of “Yahav”, an Israeli youth movement for social change, teaching young activists about the Democratic values of Zionism.

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