LegalOn Technology Stack

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A LegalOn Technology Stack is a SaaS technology company stack for LegalOn Tech..



Referneces

2023

General LegalOn Application Platform:
   Backend: Go, Java
   Task Management: Jira
   Communication: Slack, Google Meet
   Knowledge Sharing: Notion, Miro
   Design Tools: Figma
LegalOn LegalForce.
   Backend: Ruby, Hanami
   Frontend: TypeScript, React, Emotion
   Schema: Swagger (OpenAPI 3)
   Build Tools: Webpack
   Platform: AWS
   Databases: MySQL Aurora, Redis, Amazon OpenSearch Service
   Computing: ECS (Fargate), Lambda
   Authentication: Auth0
   Logging & Monitoring: Datadog, Splunk, Sentry
   CI/CD: GitHub Actions, CircleCI
   Infrastructure as Code: Docker, Terraform
   Helpdesk: Intercom
   E2E Testing: mabl, Playwright
   Email: SendGrid
   Data Warehousing: BigQuery
LegalOn LegalForce Cabinet:
   Backend: Java 17
   Frontend: TypeScript, React, React Query, Storybook
   Platform: GCP, Firebase
   Databases: Cloud Firestore, Cloud SQL (MySQL)
   Logging & Monitoring: Datadog, Cloud Logging, Sentry
   Infrastructure as Code: Docker, Terraform
   Authentication: Firebase Authentication with Identity Platform
   CI/CD: GitHub Actions
   Data Warehousing: BigQuery
Common LegalOn Product Components (Document Processing):
   Languages: Ruby, Java 17, JavaScript, Python, C#
   Frameworks: Vue.js (Nuxt.js), Rails
   Platform: GCP
   Data Storage: Cloud SQL, Cloud Memorystore, Cloud Storage
LegalOn Annotation System:
   Languages: Ruby, JavaScript
   Frameworks: Ruby on Rails, NuxtJS
   Platform: GCP
   Database: Cloud SQL (MySQL)
   Authentication: AzureAD (OpenID Connect)
   Infrastructure as Code: Docker, Terraform
   Logging & Monitoring: Datadog, Sentry
   CI/CD: GitHub Actions
   Data Warehousing: BigQuery
   Knowledge Sharing: Lucidchart

Search System:

   Languages: Python, Java
   Search Engine: Elasticsearch
   Platform: AWS, GCP
   Infrastructure as Code: Terraform
   Monitoring: CloudWatch, Datadog

Data Analytics Platform:

   BI: Looker
   Web Analytics: Google Analytics
   SFA: Salesforce
   MA: Marketo
   Languages: Python, Go
   Platform: AWS, GCP
   Database: Aurora
   Data Warehousing: BigQuery
   Monitoring & Logging: Cloud Monitoring, fluentbit, Cloud Logging
   ELT Tools: dbt, Fivetran, Digdag, Embulk, Cloud Dataflow