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.

Daman Kaur
Founder, LegalAI Space
Ex-Microsoft · Ex-HPE · BITS Pilani · Author (Packt, 2022)
  1. I

    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. II

    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. III

    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. IV

    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.

Now · Flagship

LegalAI Space

AI agents that do the work — governance that proves it

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.

ResearchContractsDue DiligenceComplianceHorizon ScanningDocument Review+9 more

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

Built along the way

  1. What an AI Due Diligence Agent Actually Produces (and How to Trust It)

    Inside the output of an AI due diligence agent — what it produces, how the governance layer makes it verifiable, and why that's what lets a firm trust it.

  2. AI Policy vs AI Governance: Why Your Two-Page Policy Won't Survive an SRA Inspection

    A two-page AI policy is not governance. Here's the difference — and what an SRA inspection actually expects a firm to be able to prove.

  3. The EU AI Act Deadline Moved to 2027. Here's Why Waiting Is the Wrong Move.

    The EU AI Act's high-risk obligations were postponed to December 2027 under the Digital Omnibus — but the parts that matter for most firms are already live, and the runway is the reason to start governance now, not later. A precise, sourced explainer for UK and EU firms.

  4. Self-hosted LegalAI Space: for firms where a privacy policy is not enough

    For firms where SaaS isn't enough, LegalAI Space now ships as a self-hosted deployment inside the firm's own cloud tenancy. Here's when it matters and how it works.

  5. AI Governance in UK Law Firms: Why Compliance Officers Need Better Support in 2026

    93% of mid-size UK law firms now use AI. Compliance officers are managing new technological risks without additional resources, training, or tools.

  6. Verifiable Agents: Why "Trust Me" Isn't Good Enough for Enterprise AI

    AI agents are everywhere. But nobody can prove they work correctly. Here's why verifiability is the missing layer — and why we're starting with legal.

Implementing Hybrid Cloud with Azure Arc Book Cover
Packt Publishing, 2022

Implementing Hybrid Cloud with Azure Arc

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.

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.

Book a pilot call