DeepJudge Tech Stack

AI platform for legal firms to surface and operationalize institutional knowledge

Software Development Zürich 51–200 employees Privately Held

DeepJudge is an enterprise search and AI application platform built for legal professionals. The stack (Python, C++, Rust, DSPy, LangChain, LangGraph on Azure/AWS/Kubernetes) reflects a language-model-first architecture; active adoption of DSPy and LangGraph signals heavy investment in agent frameworks and prompt optimization. The hiring mix—equal weight on engineering and sales, with leadership skewed toward Account Directors—indicates a go-to-market push into AmLaw 200 paired with product maturation on workflow automation and security frameworks.

Tech Stack 12 technologies

Core StackAWS Docker Linux Kubernetes Python C++ Rust JavaScript LangChain Azure DSPy LangGraph

AdoptingLangChain DSPy LangGraph

What DeepJudge Is Building

◆Challenges

Trapped knowledge across systems
Complex cloud and on-premise deployments
Maintaining security and compliance frameworks
Infosec questionnaires
Complex sales cycles
High-stakes partnership structures
Underused knowledge
Complex challenges of building our product
Underutilized legal knowledge
High-performance product at scale

▲Active Projects

Security whitepapers
Value-adding workflows using workflow builder
Incorporating new techniques into existing workflows
Creating benchmarks for workflow performance
Deepjudge platform implementation
Technical collateral creation
Security and customer trust programs
Sales strategy for amlaw 200
Customer acquisition for top tier us law firms
New use cases for deepjudge

Hiring Activity

Accelerating20 roles · 10 in 30d

Department

Engineering

Sales

Security

Support

Seniority

Senior

Director

Mid

Manager

Intern

Notable leadership hires: Account Director, Enterprise Account Director

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About DeepJudge

DeepJudge builds a platform that surfaces institutional knowledge trapped across a law firm's systems and enables lawyers to build AI-powered workflows and LLM agents on top of it. The product sits between enterprise search (indexing firm documents and case data) and AI application infrastructure (workflow builder, agent orchestration). The company operates across Switzerland and the United States, serving mid-market and top-tier law firms. Core pain points they address include knowledge fragmentation across on-premise and cloud systems, complex regulatory compliance, and underutilized legal expertise across teams.

HeadquartersZürich

Company Size51–200 employees

Hiring MarketsSwitzerland, United States

Frequently Asked Questions

What tech stack does DeepJudge use?

Python, C++, Rust, JavaScript; Azure and AWS for cloud; Kubernetes and Docker for orchestration; DSPy, LangChain, and LangGraph for LLM and workflow frameworks.

What is DeepJudge building?

Workflow builders for legal use cases, performance benchmarks, security whitepapers, sales strategy for top-tier law firms, and new applications that surface trapped knowledge across firm systems.