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Legal Data Analyst & Researcher

The Sponsor Legal Intelligence Platform
Stanford-le-Hope
5 days ago
Applications closed

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Legal Data Analyst & Researcher(Part-Time, Remote)

Location:Initially Remote moving to in-house

Job Type:Part-Time (with potential to transition into Full-Time post-launch)

Start Date:Mid-late June

Department:Data Analyst, Research & Product Intelligence


About The Sponsor

The Sponsor is a legal intelligence platform designed to provide law firms, professionals, and business leaders with a comprehensive view of the legal industry. Through curated deal data, AI-generated firm rankings, and editorially enriched insights, we help users stay ahead of the legal market.


Currently in pre-launch, The Sponsor is backed by industry relevant investors and is in the early stages of product deployment. Our mission is to modernise legal intelligence with data transparency, intuitive design, and actionable insights.


As we prepare to go to market, we’re looking for a part-timeLegal Data Analyst & Researcherto support the accuracy and growth of our database, contribute to our proprietary rankings system, and enrich our editorial and deal insight pipelines.


The Sponsor is an ambitious, fast-moving legal tech start-up with a clear vision: to become the market leader in legal intelligence. We’re building a first-of-its-kind platform that blends cutting-edge technology with sharp editorial insight to redefine how legal professionals access and interact with industry data. This is an exciting opportunity to join a dynamic team at the ground level, help shape a product set to transform the sector, and grow with a company that’s moving quickly and thinking big.


Role Summary

You’ll be working directly with the product and editorial teams to:

  • Identify, validate and input key legal data across firms, lawyers, deals and rankings
  • Monitor developments in the legal industry (Globally)
  • Help shape how law firm data is interpreted and presented
  • Provide analytical support to AI-driven features (summaries, rankings, scoring models)
  • Assist with sourcing and structuring data from well-known legal data platforms

Initially part-time and remote, this role is expected to grow into a full-time position if the probation period is successful and the candidate is a strong fit during the product launch phase.


Key Responsibilities

  • Conduct legal market research and sort and approve structured data from data pipelines and APIs
  • Analyse law firm performance metrics, lawyer movements, deal activity, and practice area trends
  • Support the development of AI-assisted ranking systems and other AI generated features through quality control and data validation
  • Monitor subscription content from well-known legal data platforms
  • Maintain and update datasets to ensure relevance and accuracy
  • Collaborate with product, design and editorial teams to deliver insightful, well-presented data
  • Assist in mapping out public vs. proprietary data sources for API or scraping opportunities


Requirements

Essential:

  • Background in legal research, law, data analysis or related field
  • Strong knowledge of law firms, rankings systems, and the legal market
  • Comfortable using structured data, spreadsheets, and online legal resources
  • Attention to detail and accuracy in data entry
  • Excellent written communication skills
  • Self-starter comfortable working in a startup environment


Preferred:

  • Previous experience at a legal publication, legal research company or legal tech platform
  • Familiarity with tools like Jira, Confluence and Microsoft Suite
  • Understanding of legal deal terminology and private equity/M&A trends
  • Experience working with AI-driven tech companies


What We Offer

  • Flexible part-time hours (10–20 hrs/week initially)
  • Remote-first team culture
  • Opportunity to join at an early stage and grow into a permanent role
  • Close collaboration with product, design and editorial leadership
  • Involvement in a product that is actively reshaping the legal intelligence landscape
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