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Legal Counsel

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Coda Law Group LLP
Full Time position
Listed on 2026-03-14
Job specializations:
  • IT/Tech
    IT Support, Cybersecurity, IT Business Analyst, Data Security
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below

Coda Law Group seeks a Legal Counsel that specializes in technology transactions lawyer (5–10 years) to join our fully remote team. We work with VC-backed startups and established technology companies on complex B2B commercial agreements, and we're growing fast.

What you'll do:
  • Draft, negotiate, and manage SaaS and on-premise software license agreements, hardware/software/content transactions, and other commercial agreements
  • Revise and negotiate vendor agreements on behalf of clients (e.g., marketing services, platform agreements, data processing agreements)
  • Use AI‑assisted legal tools for initial document review, issue‑spotting, and negotiation playbook development — we're building these workflows into how we practice
  • Advise on artificial intelligence, data privacy issues and open source licensing
  • Manage and grow client relationships directly — our lawyers own their client relationships, not just their deals. You'll be the day‑to‑day point of contact, advise on matters across the client's contract portfolio, and are expected to develop the relationship over time including identifying new work and expanding the engagement
What we're looking for:
  • 5-10 years at a top law firm; in‑house experience a plus
  • Strong background in IP law and technology transactions
  • Active membership and good standing in any U.S. state bar
  • Excellent writing, analytical, and communication skills
  • Comfort with or curiosity about AI legal tools — we use them and expect attorneys to engage with them critically, not just passively
  • Comfort using other online tools such as Slack and Ironclad
  • History of strong academic performance, good interpersonal skills, and ability to work independently in a remote environment
Why Coda:

We're a fully remote firm with attorneys across the country. You'll work on real client deals immediately, with strong mentorship on both legal skills and business development. We're fast‑moving, collegial, and serious about building a modern tech transactions practice.

Preliminary Questions

1. Training & Supervision
.Describe where and how you were trained to draft, negotiate, and close technology transactions. Who supervised your work? Were you the primary drafter or did you support a more senior attorney? Be detailed about the method of training and number of years in that role.

2. Deal Volume & Complexity. How many technology transactions have you personally negotiated to close in the past 12 months? Give us two or three examples — describe the deal type (SaaS MSA, OEM, DPA, AI Addendum, Data License Agreement, etc.), the counter party's size, and what the key negotiated issues were.

3. Vendor or Customer Position.Do you have more experience representing the vendor or customer in technology transactions?

4.Hard Redline Moment. Describe a specific provision you pushed back on in a negotiation and refused to accept on behalf of your client. What was the clause, why was it unacceptable, and how did you resolve it?

5. Playbook and Process. Have you built or maintained a contract negotiation playbook? If yes, describe the types of issues/clauses it covered and how you used it. If no, describe how you track and apply fallback positions across a deal portfolio.

6. Client-Facing Judgment Describe a situation where you gave a client a recommendation they pushed back on. What was the issue, what was your advice, and what happened?

7.
AI-Specific Question
.Modern SaaS products embed AI in two distinct ways: (1) proprietary models built and owned by the vendor, and (2) features powered by third‑party LLMs (e.g., OpenAI, Anthropic) via API. From a contract drafting and negotiation standpoint, how are these treated differently? In your answer, address at least two of the following: data training rights, IP ownership of outputs, subprocessor obligations, or liability allocation.

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