# Associate Counsel

**Company**: Everlaw
**Location**: Oakland, California
**Work arrangement**: hybrid
**Experience**: mid
**Job type**: full-time
**Salary**: $148,000 - $187,000
**Category**: Legal
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/everlaw/jobs/4709359006?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_da812cf4-818

## Description

You'll support and accelerate Everlaw's contracting engine, helping manage deal volume while building out modern, AI-assisted legal workflows.

Working closely with Commercial Counsel, you will review, redline, and negotiate a wide range of commercial agreements while acting as a responsive, business-minded partner to our Sales and Finance teams.

This is a full-time, exempt position based in our Oakland, CA office with a hybrid work schedule: in office M/W/Th with the option to work from home on Tu/Fr.

**Responsibilities**

- Review, redline, and negotiate customer-facing SaaS subscription agreements, order forms, NDAs, and statements of work using Everlaw's standard positions and playbooks.

- Review and negotiate inbound vendor and software licenses, professional services agreements, and procurement contracts.

- Apply, maintain, and update Everlaw's contract playbooks, fallback positions, and standard form agreements as our business and legal landscape evolve.

- Serve as a responsive legal partner to Sales and Finance, offering pragmatic advice on contract terms affecting revenue recognition, billing structures, and deal velocity.

- Thoughtfully integrate approved AI productivity tools into daily workflows to optimize contract review, issue spotting, drafting, and negotiation preparation.

- Answer day-to-day contract questions from internal stakeholders and keep pace with legal developments in SaaS, AI, data privacy, and cloud technologies.

**Requirements**

- You have 1–3 years of commercial contracting experience in-house at a technology company or at a law firm with a SaaS client focus, along with a J.D. and active state bar membership.

- You have hands-on experience negotiating critical terms like Limitations of Liability, Indemnification, IP Rights, and Data Security, plus experience with NDAs, DPAs, or BAAs.

- You produce clear, concise redlines and can calibrate your communication for legal, business, and technical audiences.

- You are process-oriented, curious about AI legal tools, and thrive when managing multiple concurrent deal streams under tight timelines.

- You are authorized to work in the United States.

**Bonus points**

- Experience with Ironclad or a comparable CLM platform.

- Experience at a B2B SaaS or legal technology company.

- Experience supporting a sales team in a high-growth environment.

**Total Rewards & Benefits**

- The expected salary range for this role is between $148,000 and $187,000.

- Comprehensive medical, dental, and vision coverage.

- Flexible Spending Accounts for health and dependent care expenses.

- Membership to Modern Health to support mental health and wellness.

- Paid parental leave.

- Company-sponsored life and disability insurance.

- Competitive equity grants.

- 401(k) plan with company matching of up to 4% of eligible annual compensation.

- 17 paid vacation days, 11 federal holidays, and paid sick leave.

- Four "Everlawlidays" per year.

- Annual allocation for learning & development and relevant professional membership dues.

- Hybrid work with regular work-from-home days and flexibility for life's logistics.

- Monthly home internet reimbursement, plus a stipend for your desk setup.

- Catered lunch each workday, plus snacks and company-wide events in our offices.

## Skills

### Required
- commercial contracting
- SaaS subscription agreements
- NDAs
- Data Security
- IP Rights
- AI productivity tools

### Nice to have
- Ironclad
- CLM platform
- B2B SaaS
- legal technology

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/everlaw/jobs/4709359006?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)
