Pattern Data

Product Owner

United States

Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Legal Tech, SaaS, Artificial IntelligenceIndustries

Requirements

Candidates should possess a Bachelor's degree in Business, Economics, Product Management, or a related field, or equivalent practical experience or certifications. A minimum of 5 years of experience working within a software product team in a fast-paced tech environment is required, along with proven experience with workflow and product management tools such as Jira, ClickUp, Asana, or Trello. Strong communication, analytical, and problem-solving skills are essential, as is the demonstrated ability to assess business value and prioritize features. The ideal candidate will be comfortable navigating and resolving competing priorities from multiple stakeholders and possess a collaborative mindset.

Responsibilities

The Product Owner will translate product strategy and customer insights into clear, actionable product requirements and prototypes. They will collaborate closely with engineering to ensure timely and resource-efficient delivery, and develop and maintain a product roadmap that balances long-term strategy with short-term deliverables. This role involves owning and managing the product backlog by organizing, refining, and prioritizing to maximize value. The Product Owner will monitor product development from concept through launch, ensuring quality and alignment with goals, and regularly communicate updates to stakeholders, ensuring feedback loops are in place. They will also organize and participate in the planning, review, and delivery of releases with cross-functional teams, championing an iterative, agile-inspired approach focused on shipping value early and often.

Skills

Product Management
Agile
Product Roadmapping
Backlog Management
Stakeholder Communication
Customer Feedback Analysis
Requirements Gathering
Prototyping
Cross-functional Collaboration
Iterative Development

Pattern Data

AI platform for streamlining litigation processes

About Pattern Data

Pattern Data provides an AI-powered software platform aimed at improving the litigation process for law firms, especially those handling mass tort cases. The platform automates repetitive tasks like reviewing medical records and extensive documentation, enabling legal teams to gather evidence more efficiently and reduce case backlogs. It also offers features such as predicting case quality, conducting rapid case reviews, and automating settlement analysis. Unlike its competitors, Pattern Data focuses specifically on the needs of law firms, providing tools that enhance productivity and accuracy in case management. The goal of Pattern Data is to streamline legal operations, allowing firms to make informed strategic decisions based on comprehensive data analysis.

Charlotte, North CarolinaHeadquarters
2020Year Founded
$1.1MTotal Funding
SEEDCompany Stage
Enterprise Software, AI & Machine Learning, LegalIndustries
11-50Employees

Risks

Competitors like Luminance and Kira Systems are advancing their AI capabilities.
Data privacy regulations like CPRA may increase compliance costs for Pattern Data.
Law firms developing in-house AI solutions could reduce demand for Pattern Data.

Differentiation

Pattern Data uses AI to streamline personal injury claims processing.
The platform automates tedious tasks, improving efficiency for law firms.
Pattern Data offers predictive analytics to enhance case quality assessment.

Upsides

AI adoption in legal tech increased by 30% in 2023.
AI in legal tech is projected to grow at a 28% CAGR until 2028.
AI can reduce case processing time by up to 50%, boosting efficiency.

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