DecoverAI

Legal Intelligence Simplified. DecoverAI is the first Legal Intelligence Platform founded in 2024 and headquartered in Washington, D.C., that created the 360° Legal Brain™ - an AI-powered end-to-end…

decover.ai

DecoverAI

decover.ai

HQUS

Team Size8

Open Jobs4

Total Funding-

Latest FundraiseUnknown

TL;DR

What they do: AI-powered Legal Intelligence Platform (DecoverAI 360° Legal Brain™) for legal research, document analysis, litigation strategy, and compliance

Headcount: 11 employees

Funding: Seed round $2.0M (Jul 2024) — lead investor Leo Capital

Location / Legal name: Washington, D.C.; legal name DecoverHQ Inc.

Company Overview

Problem Domain

Legal technology — research, document review, discovery, litigation strategy, compliance monitoring

Industry

Legal tech

Funding Track Record

Seed- 2024-07-30

$2.0M

Seed round led by Leo Capital (July 2024)

Investor Signal

“Led by Leo Capital (seed)”

Join the Team

Founding Engineer

On-SiteBengaluru, Karnataka, IN

On-Site • Bengaluru, Karnataka, IN

We need a founding engineer who can own and build our entire AI platform end-to-end: from LLM pipelines and evaluation frameworks to scalable backend infra and polished product interfaces. You'll be the engineer who turns research-grade AI into production-grade legal intelligence.

Litigating attorneys drown in millions of pages of case documents, precedents, and filings. Existing tools are keyword searches slapped onto PDFs. We're building an AI system that actually understands legal reasoning and delivers deep, actionable insights in seconds.

Responsibilities

Startup jobs. A lot of them.

Your next opportunity is in here somewhere. Sign up to explore 52,000+ startups and their open roles. No spam. No gamification. Just jobs.

52,000+

Startups

65,000+

Open Roles

1,500+

New This Week

Software Engineer

InternshipCambridge, GB

Internship • Cambridge, GB

Backend Developer

Part-timeManchester, GB

Part-time • Manchester, GB

Technical Writer

Full-timeBelgrade, RS

Full-time • Belgrade, RS

Machine Learning Engineer

InternshipJerusalem

Internship • Jerusalem

AI Researcher

Full-timeSan Francisco, US

Full-time • San Francisco, US

Data Scientist

Full-timeMunich, DE

Full-time • Munich, DE

Related Companies

Company	HQ	Industry	Total Funding
Adopt AI	🇺🇸San Jose, US	Data and AnalyticsDeepTechInformation TechnologySoftware	$6M
Libra	🇩🇪DE	Data and AnalyticsDeepTechInformation TechnologyLegalProfessional ServicesSoftware	-
Mello HQ	🇩🇪DE	Data and AnalyticsDeepTechInformation TechnologySoftwareTransportation	-
Nanonets	🇺🇸US	Consumer ProductsData and AnalyticsDeepTechHardwareInformation TechnologySoftware	-
GRUVE TECHNOLOGIES INDIA PRIVATE LIMITED	🌍Remote	Data and AnalyticsDeepTechInformation TechnologySoftware	-

AI Platform and Pipelines: Design and build production RAG systems, agentic workflows, and LLM orchestration layers. Pick the right models, chain them, ground them.

Evals and Model Quality: Build rigorous evaluation frameworks. Define metrics that matter, run systematic benchmarks, and continuously improve model accuracy, latency, and cost.

Scalable Infra: Architect backend services (APIs, queues, vector stores) that handle millions of legal documents without falling over. Own deployment, monitoring, and cost optimisation on cloud (AWS/GCP).

Product Engineering: Ship user-facing features with React/Next.js . You care about what the attorney actually sees and uses, not just what the model outputs.

Data and Embeddings: Work with massive structured and unstructured legal datasets. Build and maintain embedding pipelines, chunking strategies, and retrieval infrastructure.

MLOps and Lifecycle: Own the full model lifecycle: fine-tuning, deployment, A/B testing, monitoring, and rollback.

5+ years shipping production software; strong Python plus at least one of Go, Rust, or Kotlin.
Hands-on LLM experience: you've built real applications against OpenAI, Anthropic, or open- source models (not just called an API once).
Deep understanding of RAG architectures, prompt engineering, embeddings, and retrieval systems.
Solid backend engineering: APIs, microservices, distributed systems, SQL/NoSQL databases.
Cloud deployment experience (AWS/GCP/Azure), you've scaled services, not just deployed demos.
Strong CS fundamentals: data structures, algorithms, system design.
Frontend proficiency: React.js / Next.js or equivalent. You can build an entire AI application, not just a backend.

Experience with vector databases (Pinecone, Weaviate, FAISS, Qdrant).
MLOps tooling: MLflow, Airflow, Kubeflow, or similar.
Real-time data pipelines or streaming systems.

This job was posted by Hema Chandrashekar from DecoverAI.

DecoverAI

DecoverAI

TL;DR

Company Overview

Problem Domain

Industry

Funding Track Record

Investor Signal

Founders

What we do

Join the Team

Founding Engineer

Startup jobs. A lot of them.

Software Engineer

Backend Developer

Technical Writer

Machine Learning Engineer

AI Researcher

Data Scientist

Related Companies