AI legal assistant for document drafting, research, and task automation
CORTO builds AI-powered software for legal professionals, with a tech stack split between data infrastructure (Snowflake, BigQuery, Redshift) and a modern backend (Node.js, Next.js, React, ASP.NET). The hiring mix is heavily weighted toward engineering (12 of 23 open roles), with active work on an AI paralegal product, billing automation, and intake workflows — suggesting a shift from initial product-market fit toward scaling both the AI core and operational infrastructure.
CORTO is a Sydney-based legal software company founded in 2023, providing AI-powered tools for document drafting, legal research, and task automation. The product targets law firms globally, with capabilities spanning complex document generation, research assistance, and workflow automation. The company operates across three technical domains: a data and analytics layer (Snowflake, BigQuery, Redshift, BI tools), a backend service tier (Node.js, ASP.NET, AWS Lambda, DynamoDB), and a frontend web application (React, Next.js). Current focus includes scaling the AI paralegal core, building a next-generation billing platform, and improving UX and implementation workflows.
CORTO uses Snowflake, BigQuery, and Redshift for analytics; Node.js, Next.js, and React for frontend; ASP.NET Web API for backend services; AWS Lambda and DynamoDB for compute and storage; OpenAI for LLM integration; and Salesforce, Power BI, Tableau, and Looker for business intelligence.
Current projects include AI paralegal backend and product development, a next-generation billing and accounting platform, intelligent intake workflows, feature extensions for family law, lawyer-in-the-loop verification systems, and pipeline instrumentation and optimization.
CORTO's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.