Full-Time

User Operations Specialist

Confirmed live in the last 24 hours

Harvey

Harvey

501-1,000 employees

Custom AI solutions for law firms

No salary listed

Junior, Mid

London, UK

Category
Customer Experience & Support
Customer Support
Requirements
  • 2+ years proven experience in a customer support role, preferably in a high-tech or fast-paced environment providing 'white glove' or 'premium support' to large enterprise customers.
  • Exceptional empathy and a genuine desire to help and connect with customers.
  • Strong problem-solving skills, with the ability to think creatively and resolve complex issues.
  • Excellent organizational skills, capable of managing multiple tasks and priorities effectively.
  • Strong communication skills, both written and verbal, with the ability to convey complex information in an understandable manner.
  • Understanding of API's, and ability to explain complex API concepts to both technical and non-technical customers.
  • Familiarity with customer support tools and CRM systems; experience with Intercom is a plus.
  • Ability to work collaboratively in a team environment and build positive working relationships across departments.
  • A passion for learning and personal growth, with a commitment to staying informed about industry trends and best practices.
Responsibilities
  • Serve as the first point of contact for customer support inquiries, delivering empathetic, accurate, and timely resolutions.
  • Juggle multiple competing priorities and tasks, ensuring a high level of service and responsiveness.
  • Collaborate with team members to troubleshoot complex issues, escalating them appropriately when needed.
  • Maintain a deep understanding of our products and services to provide knowledgeable support.
  • Document customer interactions and feedback to aid in continuous improvement of our services.
  • Work closely with other departments to resolve customer issues and contribute to the overall customer experience.
  • Stay informed of new product features and updates to provide accurate and current support.
  • Contribute to the development and refinement of support processes and materials, such as FAQs and knowledge base articles.

Harvey.ai builds custom Large Language Models (LLMs) specifically for top law firms to help them tackle complex legal challenges across different jurisdictions and legal systems. Their AI technology streamlines operations, reduces manual workloads, and enhances decision-making processes. A notable product is their AI chatbot, developed in collaboration with Allen & Overy, which demonstrates significant efficiency improvements in legal work. Harvey.ai differentiates itself by offering tailored AI solutions, charging clients for both initial customization and ongoing subscription services for support and updates. With over $100 million in funding, the company prioritizes data security, having established a Security Advisory Board and maintaining high security certifications. The goal of Harvey.ai is to transform the legal industry by providing advanced AI tools that improve efficiency and accuracy for elite law firms.

Company Size

501-1,000

Company Stage

Series D

Total Funding

$506M

Headquarters

San Francisco, California

Founded

2022

Simplify Jobs

Simplify's Take

What believers are saying

  • Harvey raised $300 million in Series D funding, valuing the company at $3 billion.
  • Opening a London office positions Harvey to serve European clients and expand market reach.
  • LexisNexis' investment in Harvey indicates potential for cross-industry collaboration and growth.

What critics are saying

  • LexisNexis' investment could lead to conflicts of interest as they are competitors.
  • The trend of using smaller language models could challenge Harvey's focus on large LLMs.
  • International expansion, like the London office, may expose Harvey to regulatory challenges.

What makes Harvey unique

  • Harvey provides a natural language interface for legal workflows, simplifying complex tasks.
  • The company specializes in custom LLMs for elite law firms, addressing complex legal challenges.
  • Harvey's BigLaw Bench sets a benchmark for AI accuracy in legal tasks.

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Benefits

Relocation Assistance

Growth & Insights and Company News

Headcount

6 month growth

2%

1 year growth

52%

2 year growth

70%
PYMNTS
Apr 14th, 2025
Ai App Startups Making Rapid Gains In Sales And Funding

Startups that build artificial intelligence (AI) applications on top of large language models (LLMs) are reportedly making rapid gains in both sales and funding. These startups are reaching as much as $200 million in annual recurring revenue in less than two years and, as a group, increased the amount of funding they attracted by 110% to reach $8.2 billion in 2024, the Financial Times (FT) reported Monday (April 14), citing data from Dealroom.co and Flashpoint. This category of AI startups includes companies like Perplexity, Synthesia,  ElevenLabs, Harvey and Sierra, according to the report

VentureBeat
Mar 20th, 2025
Small Models As Paralegals: Lexisnexis Distills Models To Build Ai Assistant

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More. When legal research company LexisNexis created its AI assistant Protégé, it wanted to figure out the best way to leverage its expertise without deploying a large model. Protégé aims to help lawyers, associates and paralegals write and proof legal documents and ensure that anything they cite in complaints and briefs is accurate. However, LexisNexis didn’t want a general legal AI assistant; they wanted to build one that learns a firm’s workflow and is more customizable. LexisNexis saw the opportunity to bring the power of large language models (LLMs) from Anthropic and Mistral and find the best models that answer user questions the best, Jeff Riehl, CTO of LexisNexis Legal and Professional, told VentureBeat.“We use the best model for the specific use case as part of our multi-model approach. We use the model that provides the best result with the fastest response time,” Riehl said. “For some use cases, that will be a small language model like Mistral or we perform distillation to improve performance and reduce cost.”While LLMs still provide value in building AI applications, some organizations turn to using small language models (SLMs) or distilling LLMs to become small versions of the same model. Distillation, where an LLM “teaches” a smaller model, has become a popular method for many organizations. Small models often work best for apps like chatbots or simple code completion, which is what LexisNexis wanted to use for Protégé. This is not the first time LexisNexis built AI applications, even before launching its legal research hub LexisNexis + AI in July 2024.“We have used a lot of AI in the past, which was more around natural language processing, some deep learning and machine learning,” Riehl said

Pulse 2.0
Feb 22nd, 2025
Harvey Raises $300M at $3B Valuation

Harvey raised $300 million in a Series D funding round at a $3 billion valuation, led by Sequoia and including investors like Coatue, Kleiner Perkins, and OpenAI Startup Fund. The company experienced 4x ARR growth and expanded to 235 customers in 42 countries, including top US law firms. The funding will enhance the platform and expand enterprise use cases. Harvey also opened a London office as its European HQ. The previous Series C round in July 2024 raised $100 million at a $1.5 billion valuation.

Harvey
Feb 13th, 2025
Harvey Raises $300M Series D Led by Sequoia

Return investors Sequoia, Kleiner Perkins, GV, Elad Gil, Conviction and OpenAI Startup Fund joined by new investors Coatue and LexisNexis at a $3B valuation.

Artificial Lawyer
Feb 13th, 2025
LexisNexis Invests $300M in Rival Harvey

LexisNexis' parent company, RELX, invested in rival AI firm Harvey through its venture arm, REV, despite Harvey's tools competing with LexisNexis products. Harvey raised $300 million at a $3 billion valuation. RELX claims the investment won't affect LexisNexis' product plans or involve cross-selling. REV aims to support innovative companies, but the strategic benefit to LexisNexis customers remains unclear.