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Legal Engineer - AI Quality (Internship)DiliTrust · Paris - La Défense
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DiliTrust

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Legal Engineer - AI Quality (Internship)

🗓️ Posted 2026-09-15 Paris - La Défense Internship Hybrid ICT
💰 Salary Not shared 📊 Market 700 EUR–1,200 EUR/mo

About the Company

Where Legal Leads The General Counsel is transforming the legal department from back-office function to strategic growth center. DiliTrust is the only AI-native, fully integrated platform built to simplify and connect every dimension of legal work-empowering corporate legal teams to move faster, reduce risk, and drive business decisions. DiliTrust, Where Legal Leads. For more information, visit: www.dilitrust.com Software Development Specialties: governance, corporate governance, sensitive data, legal entity management, contract lifecycle management, board portal, legaltech, litigation management, documentation library, contracts, board meetings, digital transformation, legal, Matter Management, AI for Legal Teams, AI Contract Review, Regulatory Compliance, AI-Powered Document Management, Legal Data Analytics, Workflow Automation, Risk Management, Contract Management Software, Secure Legal Collaboration

About the Role

We are embedding AI across every DiliTrust module, and the hardest question is not "does it run " but "is it good enough for a legal professional to rely on " Answering that requires someone who understands both the model and the law. That is this role. You will join the ML team as the legal voice inside the build loop, translating legal expertise into the test sets, evaluation criteria and documentation that determine whether our AI features ship. You will work day to day with ML engineers and Product Managers, and your findings will directly shape what gets released and what goes back for rework. This is a legal engineering position, not a legal practice one. You will not draft contracts; you will define what a correct answer looks like on a contract, at scale, and hold the system to it.

Responsibilities

  • ● Design and run AI evaluations (Lini)
  • ● Build evaluation campaigns for Lini across all modules (CLM, Board Portal, Legal Entity Management, Matter Management). Define what "correct" means for each feature: scoring rubrics, acceptance thresholds, and the edge cases that matter to a lawyer but are invisible to a metric. Run the campaigns, analyse the results, and escalate quality issues to the ML team with a clear diagnosis rather than a bug report.
  • ● Own the Golden Data
  • ● Build, curate and maintain the reference test sets the team measures against. Source representative legal documents, establish the ground truth, and keep coverage honest as features evolve. This dataset becomes the team's working definition of quality, and it will be yours.
  • ● Turn client feedback into product signal
  • ● Collect and structure the feedback on AI features gathered by Customer Success. Build a failure taxonomy instead of a list of complaints, so that recurring weaknesses become prioritisable work items. Keep the feedback documentation current on Confluence.
  • ● Map the competitive landscape
  • ● Track legal tech products shipping notable AI capabilities and maintain a clear-eyed view of the market: what they claim, what they actually do, where we lead and where we don't.
  • ● Document and enable
  • ● Write and maintain the Confluence reference on our AI features - capabilities, limitations, appropriate use cases - for Product, Sales, Customer Success and Support. If a colleague can explain the limits of a feature to a client without asking the ML team, you have done this well.
  • ● Who we're looking for
  • ● A gap year student (Bac +4/+5) matching one of two profiles:
  • ● Legal background with a real pull toward technology. You have a law degree, and you find yourself more curious about how the tool works than about the case law.
  • ● Technical or engineering background with genuine interest in law. You can read a model output critically, and you want to work in a domain where precision has consequences.
  • ● In both cases, the person we are looking for is:
  • ● Curious, autonomous and rigorous - able to own a workstream without being managed through it
  • ● Analytically minded: structures information, spots inconsistencies, synthesises clearly
  • ● An excellent communicator in French and English, written and spoken
  • ● Comfortable in a fast-paced environment where the roadmap moves
  • ● Required skills