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Hamza Khan

AI, security & product engineering

AI systems for legal teams,built to be trusted.

I design, build and security-test the workflows behind intake, documents and case decisions, with a human approving every consequential step.

Builds with
Microsoft GraphSharePointFastAPIPostgreSQLNext.js

30-minute intro call on Calendly

5+ years shipping legal, healthcare and travel platforms

Intake system · how it works
Complete
Illustrated view

Proof

Teams that shipped with me

Warren

Client video

MyCareGorithm — Healthcare Platform

Healthcare / Full-stack engineering

MyCareGorithm — Healthcare Platform

Patient appointments, collaboration interfaces, educational materials and a print module for a healthcare platform.

Brenda Syson

Client video

PromoTravel — Multilingual Travel Platform

Earlier work / Full-stack platform

PromoTravel — Multilingual Travel Platform

A multilingual travel platform built with Next.js, React and Sanity, supporting dynamic travel content and booking experiences.

Evan

Client video

Scott Baron & Associates — Law Firm Website

Earlier work / Legal website

Scott Baron & Associates — Law Firm Website

A Next.js and Node.js website for Scott Baron & Associates, with legal-service content, responsive navigation and content management.

Client videos do not yet have reviewed captions.

01 / Services

Start with the problem in front of you

Build a new AI workflow, assess an application’s security, or improve a platform your team already runs.

Workflow · intake
01

New inquiry

Received
02

Gather context

Scoped
03

Draft follow-up

Draft ready
04

Attorney approves

In review
See the intake case

Service pages:Human-governed automationAgentic AI systems

Illustrated view

02 / Featured case

From first contact to attorney review

An implemented intake system for a US personal-injury firm. AI prepares the next step; an attorney approves it before anything runs.

Intake system · featured case
Channels
  • Voice callTranscribing
  • EmailCaptured
  • DocumentsClassified
Read the case study
Illustrated view

03 / Capabilities

One engineer across the whole stack

Organizational knowledge & legal intelligence
  • 01

    Organizational knowledge and firm playbooks

  • 02

    Case and client intelligence

  • 03

    Contextual drafting and explained recommendations

  • 04

    Governed AI decisions and actions

Explore Organizational knowledge & legal intelligence

See all capabilities in one list

Hamza Khan — Senior Full-Stack & AI Engineer
Hamza Khan · AI, security & product engineering

04 / Who you work with

Work directly with the engineer who builds it

I’m Hamza Khan, an AI and security engineer with a full-stack product background and 5+ years of production work. I design the workflow, write the code, test it for weaknesses and stay through handover.

Connect on LinkedIn(opens in new tab)

05 / Next step

Tell me what you need to build, assess or fix

Describe the workflow or application and the outcome you need. I’ll help you find a practical starting scope.

30-minute intro call · or email hkhantanoli@gmail.com(opens in new tab)

Questions

Who do you work with?

Legal organizations and legal-tech product teams are my main focus. I also work with AI and B2B software teams whose applications handle sensitive information, multiple users or tenants, and complex workflows.

Can you work with our existing case-management system?

Often the starting point is an existing system. I first assess its available APIs, access permissions, data quality and workflow constraints, then define what can be connected or extended.

Can we hire you just for security testing?

Yes. An assessment can stand on its own with documented findings and remediation guidance. Implementation and retesting can be scoped separately or included in an agreed engagement.

Where does human review fit into legal AI?

Review points depend on the task and its consequences. I define what the system may access, prepare and recommend, and which actions require approval or escalation to the responsible person.