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Overview
The in-house AI department that personal injury law firms hire to build their bespoke AI systems, tailored to their firm.
Tech stack
Technologies named in job postings at Swans over the last 12 months, by layer, with the share of postings for each.
Technologies in use
18
Postings analysed
3
Stack modernity
92/100AI adopter
Databases
BigQuery
Google BigQuery
Snowflake
Cloud & platforms
Looker
Power BI
Tableau
Anthropic
AI & ML
Claude
DeepSeek
LLM
Gemini
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Full Swans tech stack
18 technologies · by team · pay by technology · changes · similar stacks
Growth
Hiring Momentum
28/100
Slowing
Open positions
6
0 opened / 0 closed in 30 days
Hiring Focus
The percentage next to each role is its share of the company's job openings over the last 90 days; the arrow shows the shift versus the previous period.
Administrative
100% ▲
Jobs
≈ $60k – $114k per year (Estimated) • Remote (United States, US time zones hours) • Full-Time • 2+ years exp • PhD
Snowflake
Google BigQuery
BigQuery
AI/ML
dbt
DevOps
Rest API
Analytics
Tableau
Power BI
Metabase
Looker
Management
Asana
Monday.com
ClickUp
Airtable
n8n
Zapier
Apply
≈ $93k – $213k per year (Estimated) • Remote (United States, US time zones hours) • Full-Time • 2+ years exp • PhD
Claude
Model Context Protocol
AI Agents
Gemini
LLM
Google AI Studio
DevOps
Rest API
Management
n8n
Zapier
Apply
≈ $67k – $155k per year (Estimated) • Remote (United States, US time zones hours) • Full-Time • 2+ years exp • PhD
Google BigQuery
BigQuery
AI/ML
DeepSeek
OpenAI
Anthropic
DevOps
Rest API
Analytics
Tableau
Power BI
Looker
Management
Asana
Monday.com
ClickUp
Airtable
n8n
Zapier
Apply
