Patlytics
patlytics.ai
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Overview
Patent discovery, analytics, comparison, and workflow. Simplified via Artificial Intelligence.
News
Patlytics Raises $40 Million Series B to Expand the AI Platform Purpose-Built for IP Work
SignalFire leads the round; Patlytics now serves over 40% of Am Law 100 IP practices Patlytics, the AI platform for the full patent lifecycle, today announced $40 million in Series B funding. The
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A startup building the Harvey for patent law has raised $40 million
Patlytics raised the new funding after securing more than 40% of the AmLaw 100 firms and growing revenue about 10x in a single year.
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Patlytics Raises $40M as AI Drives a Simultaneous Surge in Patent Filings and IP Litigation
Patent work has always been the highest-stakes corner of legal practice - one missed claim can define a company's competitive position for decades. Patlytics has quietly become the platform that more than 40% of the Am Law 100 relies on to handle it, and
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Patlytics Secures $40M in Series B Funding With Contribution From Relativity
The funding round, which also saw participation from a former Kirkland & Ellis chair, will be used to help the startup expand its presence in Asia and provide its AI patent technology to a range of industries including life sciences.
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Patlytics Secures $40M in Series B Funding With Contribution From Relativity
The funding round, which also saw participation from a former Kirkland & Ellis chair, will be used to help the startup expand its presence in Asia and provide its AI patent technology to a range of industries including life sciences.
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Technologies
Tech DNA
Python
SQL
JavaScript
FastAPI
Next.js
React.js
ClickHouse
MySQL
Snowflake
AWS
GCP
LLM
Claude
Gemini
AI/ML
Python
SQL
LLM
AI Agents
Prompt Engineering
Claude
Fine-tuning
Gemini
Pandas
Spark
Post-training
Structured Outputs
Function Calling
RAG
AWS
GCP
Vector
dbt
ClickHouse
Databricks
MySQL
Snowflake
Frontend
JavaScript
TypeScript
Next.js
React.js
Redux
SWR
Zustand
Other
FastAPI
State Management
Rollup
SOC 2
HubSpot
Salesforce
Stack modernity
89/100
How modern this stack is, based on technology relevance, AI adoption and the share of legacy tools.
In-demand technologies
LLM
4 jobs
Required
AI Agents
3 jobs
Required
Python
2 jobs
Required
SQL
2 jobs
Required
Prompt Engineering
1 job
Optional
Claude
1 job
Required
Spark
1 job
Required
GCP
1 job
Required
Salary medians are calculated from this company's open jobs and compared with the market.
Industry adoption
Python
19%
AWS
15%
JavaScript
14%
SQL
13%
TypeScript
12%
AI Agents
12%
Share of companies in the same industry that use each technology.
Stack changes
RAG
Aug 2026
Function Calling
Aug 2026
Structured Outputs
Aug 2026
Post-training
Aug 2026
SOC 2
Aug 2026
Snowflake
Aug 2026
Salesforce
Aug 2026
Rollup
Aug 2026
Technologies recently added to or removed from this company's stack - a signal of tech migrations and new initiatives.
Snowflake
Jobgether
Clera
Adobe
Emagine
Accenture
Growth
Hiring Momentum
81/100
Scaling fast
Open positions
4
1 opened / 0 closed in 30 days
Median time-to-fill
17 days
faster than 56% of the market
ATS activity
Every ~10 hours
08/31/2026
Hiring Dynamics
+100%
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.
AI/ML
20% ▼
Backend
20% ▼
Executive
20% ▲
Product
20% ▼
Design
20% ▼
Activity Timeline
New location: Toronto
Aug 2026
Added RAG to stack
Aug 2026
Added Function Calling to stack
Aug 2026
Added Structured Outputs to stack
Aug 2026
Added Post-training to stack
Aug 2026
Added SOC 2 to stack
Aug 2026
Added Snowflake to stack
Aug 2026
Added Salesforce to stack
Aug 2026
Added Rollup to stack
Aug 2026
Added MySQL to stack
Aug 2026
Added HubSpot to stack
Aug 2026
Added dbt to stack
Aug 2026
Jobs
≈ $166k – $303k per year (Estimated) • In office • Full-Time • 7+ years exp • New York
AI Agents
LLM
Prompt Engineering
Apply
≈ $133k – $243k per year (Estimated) • Remote/Hybrid • Full-Time • 6+ years exp • New York
LLM
AI Agents
RAG
Apply
≈ $140k – $307k per year (Estimated) • Remote/Hybrid • Full-Time • New York • Toronto
Python
SQL
Claude
Fine-tuning
Gemini
LLM
Pandas
Spark
Post-training
Structured Outputs
AI Agents
Function Calling
DevOps
AWS
GCP
Vector
Apply
≈ $119k – $238k per year (Estimated) • Remote/Hybrid • Full-Time • 4+ years exp • New York • Toronto
JavaScript
Python
SQL
TypeScript
FastAPI
AI/ML
LLM
Frontend
Next.js
React.js
Redux
SWR
Zustand
Mobile
State Management
Apply