Legal Ops
Parallel Web Systems· Operations
Palo Alto$135k - $200k + equityFull-timePosted 1mo ago
About the role
Legal operations role responsible for managing Parallel's contracts management system end-to-end, administering Ironclad, negotiating smaller items, and triaging larger items with counsel. Requires tech fluency, AI tooling experience in contract review or legal ops, and strong process optimization.
Responsibilities
- Own and administer Ironclad as the contracts management system, building and maintaining workflows, routing approvals and signatures, and ensuring the repository is reliable for reporting.
- Negotiate smaller commercial items (NDAs, order forms) within playbook, triage anything outside it to counsel with clear recommendations.
- Leverage AI tooling for first-pass markup and playbook checks to move faster and improve efficiency.
- Work cross-functionally with sales, procurement, and legal teams to streamline contract processes and improve outcomes.
- Maintain and improve processes to avoid rework and ensure clear communication and documentation.
Qualifications
- 5+ years in contracts, legal operations, or commercial legal support at a technology or SaaS company
- Experience as the Ironclad admin (not just a user) and ability to build and debug workflows from scratch
- Experience negotiating contracts independently and prioritizing issues for goodwill
- Tech fluent with experience using AI tooling in contract review or legal ops
- Strong written and verbal communication skills
- JD or paralegal certification helpful but not required
Skills
Required:Ironclad administrationContract negotiationCross-functional collaboration
Nice to have:AI tooling in contract review
Benefits
- Visa sponsorships
- 401K plans
- Daily lunch & office snacks
- Dinner at the office
- Unlimited vacation
- Caltrain pass reimbursement
Last updated Sep 10, 2026. Interested? Apply on the company site.
About Parallel Web Systems
The highest accuracy web search for your AI
Deep research API interface for ChatGPT and AI agents. Enterprise-grade deep research with up to 48% accuracy vs GPT-4's 1%. Built for ChatGPT deep research assistants and complex multi-hop AI workflows.
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