Applying to Legora.
Legora is an AI-native workspace for legal teams, marketed as the Legora aOS™ — an agentic operating system for legal work that connects information, communication and execution in one system. It analyses thousands of documents in minutes and powers end-to-end workflows: the Agent plans, executes, reviews and delivers complex legal work; Monitors continuously scan global regulation and surface what matters; Lists keep legal work organised, owned and connected. Below: every role applied for, each with a requirement-by-requirement fit page rather than a cover letter.
Roles applied for
Each page maps the posting line by line, names the ramp where there is one, and links the engagement behind every claim.
Nine years writing production code inside client environments — the integration, the connector, the pipeline that keeps running after the engagement ends. Legal is a new domain; embedding with a client's stack under pressure is not.
Nine years as the named technical contact on enterprise rollouts — kickoff, documentation, test plans, cutover, hypercare. Legal is a new domain; delivering into firms whose own clients expect precision is not.
Why Legora, specifically.
The reusable connector, already built
Anygum, on the Cloudsight backbone: Auth0-based SSO with org- and instance-level RBAC under a layered proprietary permission model, built once from recurring client-side authorization friction and reused by every client platform since — not a bespoke fix rebuilt per engagement. One organisation runs isolated instances of the same application without separate auth silos, which is the part most SSO rollouts actually fail on.
Fragmented sources into one canonical corpus, built solo
DotaBD: an ingestion, ETL and analysis platform built fully alone that took a fragmented esports community's scattered, contradictory records and gave it one canonical, queryable dataset — 1,207 players and 47,091 matches — plus the first nationwide league run end to end through the platform, registration through local payments. The reusable-tooling instinct the JD asks for, applied solo at national scale.
A professional-services AI rollout, scoped and shipped solo
Vimalgo, for a Swiss professional-services firm in Möhlin: the pre-sales technical scoping, the build, and the demo that converted a cautious client into an early commitment were all mine. Launched January 2025, in production. Recruiters and lawyers share the relevant shape — billable time, high document volume, no tolerance for a confident wrong answer.
Thirty minutes, and the hard questions first.
Every fit page carries the questions a hiring manager should actually ask — including the ones that are not flattering.