AI-Native Legal Infrastructure | Bangalore (In-Office)

Founder-Level Equity | Zero-to-One Build

Thesis

- Legal workflows are non-deterministic, fragmented, and human-orchestrated.

- LLMs alone introduce stochasticity into a system that demands reliability, auditability, and compliance.

- We are building a deterministic legal execution layer - infrastructure that makes legal workflows programmable.

- This is not a marketplace.

- This is systems architecture.

What We're Architecting

A production-grade AI-native infrastructure stack combining:

- LLM orchestration with guardrails

- Deterministic workflow engines (state machines for legal lifecycle management)

- RAG pipelines with structured retrieval + citation anchoring

- Agentic execution frameworks with bounded autonomy

- Multi-tenant, enterprise-grade backend systems

- Compliance-first architecture (audit logs, traceability, version control)

- Secure data isolation + governance controls

- The objective: transform legal decision execution into structured, reproducible computation.

Core Technical Challenges

- Constraining stochastic LLM outputs within deterministic execution systems

- Designing reliable agent workflows with rollback & state control

- Building structured legal ontologies for machine reasoning

- Implementing citation-verifiable RAG layers

- Creating audit-grade logs suitable for enterprise and regulated environments

- Scaling multi-tenant architecture with strong isolation guarantees

You will:

- Define long-term systems architecture from first principles

- Design infra abstractions for legal execution engines

- Own backend, APIs, AI layers, cloud infra, and data architecture

- Embed AI into production systems beyond wrapper-level usage

- Build the engineering team and technical culture

- Operate as a true co-founder with board-level visibility

- This is a zero-to-one distributed systems problem in a compliance-heavy domain.

Ideal Background

- 4+ years in deep-tech, infra, or AI-first startups

- Strong distributed systems & architecture fundamentals

- Experience shipping LLM/RAG systems to production

- Comfortable designing stateful workflow engines

- Security-conscious systems thinking

- Hands-on engineer (not purely managerial)

- IIT / top US CS background preferred

Bonus:

- Experience in infra tooling, workflow engines, compliance systems

- Background in formal systems, deterministic design, or constrained AI

Founder

Founded by Sreerupa Chowdhury, repeat legal-tech operator. She previously built one of India's largest digital legal platforms (acqui-hired by a Singapore-based firm) and was featured among India Today's Top 40+ influential young change-makers.

This is her second build in legal systems.

Why This Is Defensible

- Legal is one of the most regulation-heavy and structurally complex industries globally.

- AI without structured governance fails here.

- We are building the execution substrate - not a UI layer.

Structure

- Meaningful founder equity

- Long-term build orientation

- In-office, Bangalore