Legal AI Engineer — Hybrid Role in Legal Tech

New Mind BYS

Şişli

Hybrid

TRY 180,000 - 300,000

Full time

14 days+

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Job summary

New Mind AI is seeking a mid-level Legal Engineer to bridge law and software. You will translate complex legal data into working AI-powered solutions, guiding AI-assisted development tools to ensure accuracy and compliance.

The role combines legal expertise with coding literacy in a fast-paced, globally connected environment. You will work hybrid, collaborating with engineers and product teams to shape AI products, document processes, and break down problems into actionable steps.

Qualifications

  • Law degree and interest in legal tech.
  • 2-4 years of independent, self-directed work.
  • Ability to read and reason about code and data.

Responsibilities

  • Translate legal knowledge into AI-powered solutions via prompts and data pipelines.
  • Evaluate model outputs for legal accuracy and compliance.
  • Structure and organize legal data for AI ecosystems.
  • Collaborate with engineering to shape product behavior.
  • Read, reason about code, and use AI-assisted development tools.
  • Debug across prompts, data, and code in pipelines.
  • Document workflows for technical and non-technical stakeholders.
  • Drive technical specifications to completion.

Skills

Legal literacy
Coding literacy
AI tooling fluency
NLP basics
Prompt engineering
Knowledge graphs
Ontologies
Taxonomy work
Agentic AI
LLM APIs

Education

LL.B. or equivalent

Tools

Claude Code
Copilot
Elasticsearch
Vector databases
General coding

Job description

New Mind AI is seeking a mid-level Legal Engineer to bridge law and software. You will translate complex legal data into working AI-powered solutions, guiding AI-assisted development tools to ensure accuracy and compliance.

The role combines legal expertise with coding literacy in a fast-paced, globally connected environment. You will work hybrid, collaborating with engineers and product teams to shape AI products, document processes, and break down problems into actionable steps.

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