Daman Kaur

I build AI that enterprises can verify, regulators can trust, and teams can actually use.

A decade building cloud and AI infrastructure at Microsoft and HPE taught me how the world's largest enterprises think about trust, compliance and scale. I left to build the missing layer: AI you can prove. Today I'm the founder of LegalAI Space, where a whole team of AI agents does real legal work — and every output ships with a verified citation trail and a signed record a regulator can read. Starting with law, where unverified AI is career-ending.

Founder, LegalAI Space · Ex-Microsoft · Ex-HPE · BITS Pilani · Author (Packt, 2022)

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Daman Kaur
The path from enterprise to founder

My Story

1

The Enterprise Years

Engineering degree from BITS Pilani, then a decade at Microsoft and HPE — building cloud and AI infrastructure serving Fortune 500 companies. Learned how enterprises think about trust, compliance, and scale — lessons most startup founders never get.

2

The Exploration Phase

After leaving Microsoft, I spent two years building experimental AI tools to understand what LLMs could and couldn't do. Markdown Converters processed 20,000+ documents — and legal industry users kept showing up. PaperAI taught me that AI outputs need structured human oversight, not blind trust. Every user asked the same question: "Can we prove this AI output is correct?"

3

Becoming a Mother, Becoming a Founder

Motherhood taught me something no corporate role ever did — how to build with fierce clarity about what matters. An executive product management programme at IIM Lucknow sharpened the business lens. I left Microsoft, not despite becoming a mother, but because of the perspective and discipline it gave me. Understanding what is important and going for it irrespective of how difficult it is. Somewhere in between, I also built DrawInkPaper — free drawing tutorials for kids, because I like art and wanted to share it.

4

Building Verifiable Agentic AI

That question became the founding thesis for LegalAI Space — a governance platform purpose-built for legal teams. A whole team of specialist AI agents does the real work — research, contract review, due diligence, compliance — and one governance layer checks every step: conflicts, jurisdiction and client data cleared before a run begins, every citation re-fetched and verified against the source, and a signed, reproducible record a compliance officer can hand to a regulator. I'm onboarding UK and EU firms now. Starting with law, where the consequences of unverified AI are career-ending.

What I'm building

From document intelligence to governed AI agents — each step built on the last.

LegalAI Space

AI agents that do the work — governance that proves it

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Other legal AI makes fee-earners faster. LegalAI Space lets the firm prove the work was done properly. Fifteen specialist agents handle research, contract review, due diligence, compliance and more — each governed by the same pipeline: conflict, jurisdiction and PII checks before a run starts; every citation re-fetched and verified against BAILII, legislation.gov.uk and EUR-Lex; and a signed, tamper-evident record for the SRA, a client, or the EU AI Act. Built for UK and EU firms, built to scale globally.

Research Contracts Due Diligence Compliance Horizon Scanning Document Review +9 more

Every agent output is independently verified against authoritative legal databases and delivered with a full audit trail.

Built along the way

Markdown Converters

File-to-markdown conversion for LLM ingestion. 50+ formats, 20K+ docs processed. Legal users kept appearing.

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PaperAI

AI document digitisation with human review. Taught me AI outputs need structured oversight, not blind trust.

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AlaiStack Agents

Private AI agents with verification and audit trails. The platform layer underneath it all.

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Writing & Thinking

On verifiable AI, legal-AI governance, and building in public — written for the compliance officers, partners and builders now accountable for AI they can't yet prove.

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Book

Implementing Hybrid Cloud with Azure Arc Book Cover

Implementing Hybrid Cloud with Azure Arc

Packt Publishing, 2022

A practitioner's guide to designing, deploying, and governing hybrid and multi-cloud environments using Azure Arc. Covers Kubernetes integration, AI/ML pipelines, PaaS data services, and unified governance across on-premises and cloud infrastructure.

Written while building governance for hybrid and multi-cloud at enterprise scale — the same instinct now aimed at AI.

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Get in touch

Whether you're a law firm exploring AI governance, an investor backing verifiable AI, or a partner or builder who wants to compare notes — I read every message. Law firms: book a pilot call and we'll run one of your real matters through the platform. You can also connect with me on LinkedIn.

daman@legalaispace.com
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