TechnologyJagdeep Singh
Jagdeep leads platform architecture and technical direction, translating investigative requirements into reliable forensic workflows, data controls and practical tools for sensitive casework.

They need accountable people, disciplined methods and a clear understanding of how technical evidence enters legal, financial and operational decisions.
“The gap was not access to blockchain data. It was turning that data into a coherent case.”
The idea for Chain Trace Labs emerged from repeated conversations around Web3 disputes, fraud, compliance and recovery. The same pattern kept appearing: blockchain evidence existed, but it was fragmented across explorers, screenshots, spreadsheets and disconnected specialists.
Tech Legal’s advisory work provided part of that early context. It exposed the distance between identifying activity on-chain and producing a record that a client, lawyer, investigator, exchange or compliance team could responsibly act upon.
Chain Trace Labs was established to address that operational gap as a distinct forensic technology platform—connecting blockchain intelligence, OSINT, evidence, case workflow, reporting, monitoring and escalation around the same matter.
A transaction graph can reveal movement. A serious case also needs ownership, evidence integrity, context, deadlines, reports and controlled action.
Chain Trace Labs is directed through technical, legal and financial leadership—not anonymous product development or unsupported automation.
TechnologyJagdeep leads platform architecture and technical direction, translating investigative requirements into reliable forensic workflows, data controls and practical tools for sensitive casework.
LegalPrabhjit brings Web3 legal and cross-border advisory context to the platform, helping frame technical outputs responsibly for legitimate legal, regulatory and compliance pathways.
FinanceDeepinder supports financial structure, capital planning and disciplined resource allocation, helping the organisation develop its platform and operations on a sustainable foundation.
We do not ask users to trust a black box. Our product direction is built around reviewability, appropriate access and honest communication about what the evidence can support.
Review legal and compliance principles →Observed facts, sourced intelligence and analyst inference should remain distinguishable.
Automation accelerates work; people remain responsible for review and external outputs.
Role-aware workflows help limit sensitive case information to authorised participants.
No recovery guarantee, automatic identity claim or request for wallet credentials.
Digital-asset matters rarely remain purely technical. The platform is designed for the hand-offs between analysis, evidence, legal strategy, financial decisions and operational response.
Trace pathways, source context and workflow controls are organised for review—not visual complexity for its own sake.
Limitations, jurisdictional considerations and legitimate escalation routes remain visible as findings become outputs.
Tasks, ownership, evidence, reports, monitoring and next actions stay connected to the same case record.
Disciplined planning supports product continuity, responsible growth and investment in controls for sensitive work.
Interfaces and outputs adapt to the audience while the underlying case context remains coherent.
We will help determine whether the right starting point is an individual case review, a professional workspace or an enterprise integration.