D

Darrow AI Tech Stack

AI-powered legal intelligence platform for case analysis and dispute resolution

Technology, Information and Internet New York, NY 51–200 employees Founded 2020 Privately Held

Darrow AI builds a legal intelligence platform using Python, React, PostgreSQL, and Databricks to surface patterns and risks in legal data. The company is actively investing in AI automation and workflow implementation while scaling a data infrastructure stack (Databricks, Snowflake, Apache Airflow) — a signal of evolving from analytics-focused tooling toward production ML systems. Hiring spans legal domain expertise (6 roles), product and sales equally (9 roles combined), and engineering/data (6 roles), indicating a product-driven go-to-market paired with domain-specific hiring.

Tech Stack 26 technologies

Core StackGoogle Analytics WordPress n8n Python JavaScript React TypeScript Node.js PostgreSQL MongoDB DynamoDB Databricks Snowflake Apache Airflow AWS Elasticsearch Pinterest Snapchat Bing Google X TikTok LinkedIn Excel Taboola Outbrain

What Darrow AI Is Building

◆Challenges

Scaling paid acquisition campaigns
Ensuring data integrity
Scalable data infrastructure
Scaling quality across legal tech platform
Scaling compliance programs
Complex ingestion pipelines
Streamlining internal workflows
Office operations inefficiencies
Scaling customer success
Cross-functional business initiatives

▲Active Projects

Ai-driven automation
Ai-driven workflow implementation
Api product development
Next-generation data platform
Model training and accuracy improvements for ai-driven legal tools
Support financing rounds and strategic transactions
Identify gaps in current processes
Client onboarding process
Internal tooling automation
Team-building events

Hiring Activity

Steady25 roles · 10 in 30d

Department

Legal

6

Product

5

Sales

4

Data

3

Engineering

3

Marketing

3

HR

1

Support

1

Seniority

Senior

13

Mid

6

Junior

5

Lead

1

VP

1

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About Darrow AI

Darrow AI, founded in 2020 and headquartered in New York, develops software that turns unstructured legal data into actionable insights for legal professionals. The platform helps law firms and in-house counsel identify case patterns, assess litigation risks, and streamline dispute resolution workflows. The company serves legal teams across mid-market and enterprise segments. Current operations span the United States, Canada, and Israel. Active development focuses on AI-driven automation, API product development, and underlying data platform improvements to support legal workflows at scale.

HeadquartersNew York, NY

Company Size51–200 employees

Founded2020

Hiring MarketsIsrael, United States, Canada

Frequently Asked Questions

What tech stack does Darrow AI use?

Frontend: React and TypeScript. Backend: Python, Node.js, PostgreSQL, MongoDB, DynamoDB. Data: Databricks, Snowflake, Apache Airflow, Elasticsearch. Infrastructure: AWS. Also uses n8n for workflow automation.

What is Darrow AI working on?

Core projects include AI-driven automation and workflow implementation, next-generation data platform development, model training for legal AI tools, and API product expansion. Supporting initiatives: client onboarding, internal tooling automation, and process gap identification.

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