Associate - Technology Transactions

3 нед. назад

СШАHybrid

Work on high-impact IP and technology-focused deals in the Technology Transactions group at .

, the agentic law company, has a client base with a combined $30 trillion in assets under management.
pioneered Legal Engineering, the process that empowers lawyers to build and supervise domain-specific AI agents with Norm’s proprietary suite of no-code software tools. technology is deployed inside many of the largest and most consequential institutions in the world.
is also the technology behind Norm Law, LLP, a separate but affiliated AI-native law firm built for the era of agentic AI. Norm Law’s attorneys advise leading institutions across private funds, private equity, venture capital, real estate, registered funds, and financial regulation, using the same legal intelligence platform that powers ’s products. AI Fluency: expects all team members to be fluent in AI. Successful candidates actively use AI in their day-to-day work to support thinking, creation, and problem-solving. They use it to improve the quality and speed of their work and to continuously refine how work gets done end-to-end. Candidates should be prepared to demonstrate and discuss their AI usage throughout the interview process, including concrete examples of tools, workflows, and outcomes. We look for practical, hands-on experience, not theoretical familiarity.

Document Drafting & Review: Leverage AI agents to generate, compare, and revise technology and IP transaction documents.
Due Diligence: Use AI tools to conduct rapid document reviews, identify key terms in documents, and generate client-facing diligence memos focused on IP and tech diligence.
Deal Execution: Integrate AI agents into workflow management, signing and closing checklists, and coordination with counterparties.
Client Advisory: Partner with clients to demonstrate how AI-assisted workflows improve accuracy, transparency, and deal velocity.
Collaboration with Tech: Work closely with the technology teams to continue to make the deal process even more efficient using AI.
30 Days: Learn the firm's AI platforms, take an active role advising clients on matters and workflows.
60 Days: Independently use AI agents to support your practice, including to review and generate transaction documentation and negotiations.
90 Days: Lead AI-augmented workstreams in live transactions, applying concentrated, focused legal judgment and skills using technology to capture and enhance quality, speed, and client service.

Juris Doctor (JD), or equivalent; admission in at least one U.S. jurisdiction.
4+ years of law firm experience in Technology Transactions and/or IP Transactions, as your primary practice.
Substantive hands-on record drafting and negotiating technology and IP agreements, with the depth that comes from doing this work at volume.
Experience supporting the IP and Tech workstreams of M&A and private equity transactions.
Strong drafting, negotiation, and analytical skills; meticulous attention to detail; and the ability to move matters forward.
No prior AI experience required.

Base salary: $270,000 to $410,000 per year
The range displayed in this job posting reflects the minimum and maximum target for new hire salary for this position. Within the range, individual pay is determined by various factors, including job-related skills, experience, and relevant education or training.
Benefits: 401(k) with employer match, health, dental, vision coverage, unlimited paid time off, free lunch in office daily, employee referral bonus program

As an associate in our Technology Transactions group, you will work on high-impact IP and tech-focused deals – including standalone technology transactions and the IP/tech aspects of M&A, Private Equity and ECVC transactions – while using cutting-edge AI agents to streamline the drafting, diligence and execution processes. You will collaborate closely with partners, clients and technology teams to help Norm reimagine and transform the way lawyers work and provide legal services to the world’s leading institutions.
Location : New York City
Work model : Hybrid
In-office expectation : 4–5 days per week
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