D

darrow,-lyndsey

lightning_bolt Market Research

Darrow: Company Profile



Background



Overview

Darrow is a legal technology company specializing in leveraging artificial intelligence (AI) to identify and assess potential legal violations, thereby assisting law firms and litigation funders in making informed decisions. Founded in 2020, Darrow operates primarily in the legal technology sector, focusing on business development for law firms. The company is headquartered in New York, New York.

Mission and Vision

Darrow's mission is to surface hidden legal risks and transform them into actionable intelligence, enhancing the efficiency and effectiveness of legal professionals. The company's vision is to revolutionize the litigation process by integrating advanced AI technologies, thereby improving case valuation, resource allocation, and overall outcomes for clients.

Primary Area of Focus

Darrow's primary focus is on providing AI-driven solutions that analyze extensive datasets to detect potential legal violations across various sectors, including mass torts, antitrust, data privacy, consumer protection, ERISA, securities, and fraud. By doing so, the company aims to streamline the identification and assessment of litigation opportunities for law firms and litigation funders.

Industry Significance

In November 2025, Darrow was recognized as the Most Innovative Legal Technology Company by the International Legal Finance Association (ILFA). This award highlights Darrow's significant impact on the legal industry through its innovative use of AI to enhance litigation processes.

Key Strategic Focus



Core Objectives

Darrow's core objectives include:

  • Enhancing Decision-Making: Utilizing AI to provide deeper insights into potential legal risks, enabling law firms and litigation funders to make more informed decisions.


  • Improving Resource Allocation: Streamlining the assessment of cases to allocate resources more effectively, thereby increasing operational efficiency.


  • Expanding Market Reach: Broadening the application of its AI-driven solutions across various legal sectors to address a wide range of litigation opportunities.


Specific Areas of Specialization

Darrow specializes in:

  • Data Analysis: Processing and analyzing large volumes of public records, legal documents, and social media data to identify potential legal violations.


  • Predictive Modeling: Developing AI models that predict the likelihood of successful litigation outcomes, aiding in case evaluation and strategy development.


  • Underwriting Tools: Creating tools that combine predictive AI models with expert legal analysis to assess investment risks for litigation funders.


Key Technologies Utilized

Darrow employs several key technologies, including:

  • Artificial Intelligence (AI): For analyzing extensive datasets to detect patterns indicative of legal violations.


  • Machine Learning Algorithms: To develop predictive models that assess the potential success of litigation cases.


  • Natural Language Processing (NLP): For extracting relevant information from unstructured legal texts and documents.


Primary Markets or Conditions Targeted

Darrow targets markets and conditions such as:

  • Mass Torts: Identifying large-scale legal violations affecting numerous individuals.


  • Antitrust Violations: Detecting anti-competitive practices within various industries.


  • Data Privacy Breaches: Addressing violations related to the mishandling of personal data.


  • Consumer Protection Issues: Identifying deceptive practices that harm consumers.


  • Securities and Fraud Cases: Uncovering fraudulent activities in financial markets.


Financials and Funding



Funding History

As of the latest available data, Darrow has raised a total of $77.2 million in funding. The most recent funding round was a Series B-2 round, raising $35 million approximately two years ago.

Notable Investors

While specific investor names are not publicly disclosed, the substantial funding indicates strong interest from venture capital firms and investors in the legal technology sector.

Intended Utilization of Capital

The capital raised is intended to:

  • Enhance Product Development: Further develop and refine AI-driven tools and platforms.


  • Expand Market Reach: Increase the adoption of Darrow's solutions across various legal sectors.


  • Strengthen Operational Infrastructure: Support the scaling of operations to meet growing demand.


Pipeline Development



Key Pipeline Candidates

Darrow's pipeline includes:

  • AI-Powered Case Assessment Tools: Platforms that analyze large datasets to identify potential legal violations.


  • Predictive Litigation Models: AI models that forecast the potential success of litigation cases.


  • Underwriting Solutions for Litigation Funders: Tools that assess investment risks in litigation funding.


Stages of Development

These products are in various stages of development, with some already deployed in collaboration with leading U.S. law firms.

Target Conditions

The tools are designed to address conditions such as mass torts, antitrust violations, data privacy breaches, consumer protection issues, and securities fraud.

Anticipated Milestones

Darrow anticipates:

  • Product Refinement: Ongoing enhancement of AI models and tools.


  • Market Expansion: Broadening the application of solutions across additional legal sectors.


  • Strategic Partnerships: Forming alliances with more law firms and litigation funders to expand the user base.


Technological Platform and Innovation



Proprietary Technologies

Darrow's proprietary technologies include:

  • AI Algorithms: Custom-developed algorithms for analyzing legal data.


  • Predictive Models: Models that assess the viability and potential success of litigation cases.


Significant Scientific Methods

Darrow employs:

  • Data Mining Techniques: To extract relevant information from large datasets.


  • Natural Language Processing (NLP): For understanding and processing unstructured legal texts.


  • Machine Learning: To continuously improve the accuracy and effectiveness of predictive models.


AI-Driven Capabilities

Darrow's AI-driven capabilities enable:

  • Automated Case Identification: Rapid detection of potential legal violations.


  • Risk Assessment: Evaluating the potential success of litigation cases.


  • Resource Optimization: Efficient allocation of resources based on data-driven insights.


Leadership Team



Key Executives

  • Evyatar Ben Artzi: Co-Founder and CEO. Evyatar is a seasoned entrepreneur with extensive experience in the legal technology sector. He co-founded Darrow to revolutionize the litigation process through AI integration.


  • Gila Hayat: Co-Founder and CTO. Gila brings a strong background in computer science and AI, leading the development of Darrow's technological platforms.


  • Mathew Keshav Lewis: Chief Revenue Officer and General Manager. Mathew oversees revenue generation strategies and manages Darrow's operations, ensuring alignment with market demands.


Leadership Changes

As of the latest available information, there have been no significant changes or appointments within Darrow's leadership team.

Competitor Profile



Market Insights and Dynamics

The legal technology sector is experiencing rapid growth, driven by the increasing adoption of AI and data analytics to enhance legal processes. Companies like Darrow are at the forefront of this transformation, offering innovative solutions that improve efficiency and decision-making in the legal field.

Competitor Analysis

Darrow's key competitors include:

  • ZAGENO: An online scientific product comparison platform that offers independent and relevant bench knowledge. ZAGENO has raised $28 million in funding and serves a wide range of customers.


  • Brightmine: A global provider of people data, analytics, and insight, empowering HR leaders to deliver brighter business outcomes. Brightmine has been operational for over two decades and serves more than 10,000 customers.


  • Babel Street: Provides advanced data analytics and intelligence platforms for government and commercial brands, transforming massive amounts of global, multilingual data into actionable insights. Babel Street has been operational since 2012 and serves a diverse clientele.


Strategic Collaborations and Partnerships

Darrow has established collaborations with leading U.S. law firms to deploy its AI-driven solutions, enhancing case assessment and litigation.
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