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Patlytics

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About

Patlytics is an AI-native platform designed to manage the full intellectual property lifecycle. It replaces fragmented point tools with a single environment for patent drafting, infringement detection, and portfolio management. The engine is built specifically for IP professionals, helping them reduce cycle times and increase margins by automating the technical discovery process across millions of data points. By integrating every phase of the patent workflow into one system, it aims to deliver more consistent outcomes for law firms and corporate legal departments. The platform handles complex tasks like generating audit-ready Invention Disclosure Forms (IDFs) from internal and external sources, including images and technical figures. It features a claim charting system that maps patent claims to product specifications to identify licensing opportunities or infringement leads, specifically technical IOUs and EOUs. Users can also perform automated portfolio classification, allowing them to triage assets into categories for maintenance, monetization, or pruning based on cross-sector infringement likelihood and specific market contexts. Patlytics is primarily used by Am Law 100 firms and Fortune 500 legal teams dealing with high-volume or complex IP portfolios. It caters to patent litigators needing fast invalidity analysis and prosecution attorneys who want to avoid Section 112 rejections through more thorough drafting. Because the tool supports bulk technical document analysis, it is also valuable for corporate IP managers looking to understand their innovation landscape and identify competitive gaps down to the claim element level. What sets Patlytics apart is its focus on data accuracy and security for the legal industry. The engine provides citation-backed outputs and color-coded confidence indicators to facilitate human oversight and prevent AI hallucinations. The platform is SOC 2 Type 2, ISO 27001, and ISO 42001 certified, ensuring that customer data is encrypted and segregated. Crucially, the company guarantees that user data is never used to train its AI models, making it a secure solution for handling sensitive legal information.

Pros & Cons

Provides citation-backed outputs with color-coded confidence indicators for reliable verification.

Consolidates the entire IP lifecycle into one platform, eliminating the need for fragmented point tools.

Holds multiple enterprise security certifications including SOC 2 Type 2, ISO 27001, and ISO 42001.

Processes millions of data points to auto-detect technical infringement leads like IOUs and EOUs.

Guarantees that user data is never used to train AI models, preserving legal privilege and confidentiality.

Pricing is not publicly disclosed and requires a manual demo request to obtain.

Access to the platform is restricted to demo users and lacks a self-service trial option.

The system is highly specialized for patent workflows and may not support other IP types like trademarks.

Use Cases

Patent litigators can automate technical discovery and find infringers faster by detecting IOUs/EOUs across millions of data points.

In-house legal teams can streamline the invention disclosure process and classify assets to decide which patents to maintain or monetize.

Prosecution attorneys can use AI-powered drafting tools to create custom IDFs and claim trees to prevent Section 112 rejections.

IP portfolio managers can perform complex portfolio comparisons at scale to identify licensing opportunities and competitive gaps.

Platform
Web
Task
patent analysis

Features

automated patent pruning

patent claim charting

patent vault and classification

office action analysis

infringement detection

invention disclosure generation

invalidity analysis

patent application drafting

FAQs

How does Patlytics ensure the accuracy of its AI-generated patent data?

The platform provides citation-backed outputs with color-coded confidence indicators to allow for human verification. Its models are specifically fine-tuned on global patent data and designed with safeguards to prevent hallucinations.

Is sensitive patent data used to train the platform's AI models?

No, Patlytics guarantees that customer data is never used for model training. All data is encrypted both in transit and at rest and is kept strictly segregated to ensure client confidentiality.

Can Patlytics do bulk technical document analysis?

Yes, the platform is designed to handle large-scale analysis for extensive portfolios and bulk technical documentation. It can automatically detect IOUs and EOUs from millions of data points to find high-likelihood infringement leads.

Which security certifications does Patlytics hold for enterprise compliance?

The platform is SOC 2 Type 2, ISO 27001, and ISO 42001 certified. These certifications ensure that the system meets rigorous standards for data security, privacy, and AI management.

Pricing Plans

Custom
Unknown Price

Full lifecycle patent management

AI-powered patent drafting

Infringement detection (IOU/EOU)

Patent invalidity analysis

Automated portfolio classification

Claim charting and mapping

SOC 2 Type 2 & ISO certified

Bulk technical document analysis

Patent pruning and triage

Job Opportunities

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Patlytics

Full Stack Software Engineer (APAC)

Accelerate IP workflows and find infringements faster with citation-backed AI for patent drafting, invalidity analysis, and portfolio classification at scale.

engineeringhybridfull-time

Benefits:

  • Remote work environment

  • Personal and professional development opportunities

  • Competitive compensation and equity grants

  • $50 monthly wellness reimbursement

Experience Requirements:

  • 4+ years of experience in Full Stack and API development

  • Experience in JavaScript (TypeScript experience preferred)

  • Experience with React (Next.js), TailwindCSS

  • Strong working experience with SQL and Python in production

Other Requirements:

  • Strong sense of product ownership

  • Strong interpersonal skills to distill technical concepts

  • Ability to work with extreme ambiguity

  • Ability to work in a fast-paced, startup environment

Responsibilities:

  • Design, develop, and maintain both frontend and backend components

  • Work on core backend service, AI platform, and data pipeline service

  • Collaborate with engineers, product managers, and designers

  • Implement best practices to improve development experience

  • Optimize applications for maximum speed and scalability

Show more details

Full Stack Software Engineer (North America)

Accelerate IP workflows and find infringements faster with citation-backed AI for patent drafting, invalidity analysis, and portfolio classification at scale.

engineeringhybridNew York, USfull-time

Benefits:

  • Comprehensive health coverage (Medical, dental, vision)

  • Mental health & wellness support (Spring Health, Headspace)

  • Immediate 401(k) enrollment

  • Unlimited PTO and 12 paid holidays

  • Paid parental leave

Experience Requirements:

  • 4+ years of experience in Full Stack and API development

  • Experience in JavaScript (TypeScript preferred)

  • Experience with React (Next.js), TailwindCSS

  • Strong working experience with SQL and Python in production

Other Requirements:

  • Strong sense of product ownership

  • Strong interpersonal skills

  • Strong problem-solving skills

  • Ability to work with extreme ambiguity

Responsibilities:

  • Design, develop, and maintain frontend and backend components

  • Work on core backend, AI platform, and data pipeline services

  • Collaborate with cross-functional teams

  • Implement best practices for the engineering team

  • Optimize applications for speed and scalability

Show more details

Account Executive

Accelerate IP workflows and find infringements faster with citation-backed AI for patent drafting, invalidity analysis, and portfolio classification at scale.

Benefits:

  • Comprehensive health coverage

  • Mental health & wellness support

  • Immediate 401(k) enrollment

  • Generous time off (Unlimited PTO)

  • Paid parental leave

Experience Requirements:

  • 5+ years of experience in a closing role

  • Ability to lead technical enterprise sales evaluations

  • Deep understanding of the intellectual property industry

Other Requirements:

  • Strong communication and negotiation skills

  • High intellectual horsepower and business acumen

  • Relentless drive, urgency, and discipline

  • Comfort operating in environments with rapid change

Responsibilities:

  • Lead and close high-value deals across IP verticals

  • Manage the full sales cycle (discovery to close)

  • Partner with SDRs, Business Development, and Marketing

  • Present to multiple stakeholders and C-suite

  • Help build and refine the sales playbook

Show more details

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