AI Developer for LegalTech Platform
Budget: £3,000 – £5,000 GBP
Freelance Software Engineer – Legal Tech Platform (Code Review & Deployment)
We are a boutique law firm. We have built an in-house AI legal intelligence platform and are looking for an experienced freelance software engineer to review the codebase, resolve any weaknesses, and guide us through a clean deployment.
What the engagement involves:
- Code & Architecture Review
- Work through the existing repository with us, identify inefficiencies or security gaps, and refactor where it genuinely adds value. Test coverage should remain intact throughout.
Feature & Logic Amendments:
Where the review surfaces faulty data handling or suboptimal AI routines, patch or rewrite the affected modules to ensure output remains reliable for legal workflows.
Deployment Configuration:
Configure a sensible environment — environment variables, secrets management, containers or virtual machines as appropriate — and document the process so it can be reproduced internally. The CI/CD pipeline is already in place; the pain point is environment setup and configuration.
The stack:
- Python backend with a lightweight React front end
- AI micro-services using Hugging Face models and NLP utilities
- Git, Docker, and cloud deployment (AWS or Azure preferred)
We are open to alternative tooling if you can make a clear case for it.
Deliverables:
- A concise written audit report
- Updated, tested code committed to our repository
- A reproducible deployment script or container definition
- Step-by-step setup documentation
The engagement concludes once everything is confirmed running cleanly on our staging environment.
Who we are looking for:
You will have solid hands-on experience with Python and React, meaningful exposure to AI/ML integrations, and a methodical approach to security and deployment. Prior experience in legal tech or regulated industries is a plus, though not essential. Given the sensitivity of legal data, you will be asked to sign a confidentiality agreement before work begins.
Engagement type: Freelance / contract
We are a boutique law firm. We have built an in-house AI legal intelligence platform and are looking for an experienced freelance software engineer to review the codebase, resolve any weaknesses, and guide us through a clean deployment.
What the engagement involves:
- Code & Architecture Review
- Work through the existing repository with us, identify inefficiencies or security gaps, and refactor where it genuinely adds value. Test coverage should remain intact throughout.
Feature & Logic Amendments:
Where the review surfaces faulty data handling or suboptimal AI routines, patch or rewrite the affected modules to ensure output remains reliable for legal workflows.
Deployment Configuration:
Configure a sensible environment — environment variables, secrets management, containers or virtual machines as appropriate — and document the process so it can be reproduced internally. The CI/CD pipeline is already in place; the pain point is environment setup and configuration.
The stack:
- Python backend with a lightweight React front end
- AI micro-services using Hugging Face models and NLP utilities
- Git, Docker, and cloud deployment (AWS or Azure preferred)
We are open to alternative tooling if you can make a clear case for it.
Deliverables:
- A concise written audit report
- Updated, tested code committed to our repository
- A reproducible deployment script or container definition
- Step-by-step setup documentation
The engagement concludes once everything is confirmed running cleanly on our staging environment.
Who we are looking for:
You will have solid hands-on experience with Python and React, meaningful exposure to AI/ML integrations, and a methodical approach to security and deployment. Prior experience in legal tech or regulated industries is a plus, though not essential. Given the sensitivity of legal data, you will be asked to sign a confidentiality agreement before work begins.
Engagement type: Freelance / contract
Related categories:
Python
Azure
Git
Docker
Security
Software Engineering
CI/CD
NLP
AI Model Development
AI Development