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Parallel Web Systems

APIs for AI-driven web research

Legal Engineer

Contract ManagementUpdated on Nov 14
Full-timePalo Alto, CA, USA

About the Job

Requirements

  • Have at least five 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 negotiated independently and be able to identify which issues merit spending goodwill.
  • Be technologically fluent and have used artificial intelligence tooling in contract review or legal operations.
  • Demonstrate strong attention to detail and operations, and communicate clearly and directly.

Responsibilities

  • Run the contracts management system end-to-end and administer Ironclad.
  • Build and maintain workflows, route approvals and signatures, troubleshoot issues, and maintain the contract repository so reporting is reliable.
  • Negotiate smaller commercial matters, including non-disclosure 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.
  • Improve processes and consider ways to streamline work across legal, sales, and procurement.

Desired Qualifications

  • A Juris Doctor or paralegal certification is helpful but not required.
  • Experience building agentic workflows to streamline work across legal, sales, and procurement.

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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