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Parallel Web Systems

APIs for AI-driven web research

Legal Operations

Contract ManagementUpdated on Nov 12
Full-timePalo Alto, CA, USA

About the Job

Requirements

  • Have at least 5 years of experience in contracts, legal operations, or commercial legal support at a technology or SaaS company.
  • Have administered Ironclad, including building workflows from scratch and debugging existing workflows.
  • Have independently negotiated contracts and the judgment to identify which issues warrant escalation.
  • Be technically fluent and have used artificial intelligence tooling in contract review or legal operations.
  • Be detail-oriented and operations-focused, and communicate clearly and directly.

Responsibilities

  • Run the contracts management system end-to-end, administering Ironclad by building and maintaining workflows, routing approvals and signatures, fixing issues, and maintaining a reliable repository for reporting.
  • Negotiate smaller commercial items, including nondisclosure agreements and order forms, within the playbook.
  • Triage matters outside the playbook and hand them to counsel with a clear recommendation.
  • Use artificial intelligence tooling for first-pass contract markup and playbook checks.

Desired Qualifications

  • Experience building agentic workflows to streamline work across legal, sales, and procurement.
  • A Juris Doctor degree or paralegal certification.

About the Company

Parallel Web Systems

APIs for AI-driven web research

Parallel Web Systems builds infrastructure and tools that let artificial intelligence use the web effectively. Its core products are APIs, including a Deep Research API and a Search API, that give AI agents fast and accurate access to web data. The systems re-engineer every layer of data flow—from crawling and indexing to ranking—so machines can consume information efficiently rather than humans. Developers and enterprises embed these APIs into their applications to enable real-time research, workflow automation, coding assistance, and market intelligence. The company differentiates itself by focusing on AI-native web access and machine-to-machine research, creating a programmatic web where AI agents can autonomously query, analyze, and synthesize information. Its goal is to establish a standard way for AI to interact with the web, powering automated research and data-driven workflows at scale.

Company size
51-200
Company stage
Series B
Total funding
$230M
Headquarters
Palo Alto, CA
Founded
2023

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