Technology Transactions

Vining Legal's Technology Transactions practice provides traditional legal representation for businesses navigating technology acquisition, implementation, and commercialization challenges.

This practice area is distinct from our Legal LLM Implementation practice. Our LLM services help clients improve or evaluate their internal AI tools, while our Technology Transactions practice focuses on providing direct legal representation in negotiating a client’s technology agreements and related matters.

Our Technology Transactions practice builds on Jace Vining's 15+ years of experience negotiating and structuring complex agreements in many settings and from many sides. Having practiced at global law firms and in-house at technology companies large and small, Jace brings a practical, business-focused approach to technology transactions centered on client business objectives, operational reality, and practical risks.

Practice Areas


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Software and Technology Licensing

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Cloud and Infrastructure Transactions

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Strategic Technology Agreements

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Contract System & Form Development

Service Delivery

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Conventional Human Review

Traditional legal services are performed directly by Jace Vining based on his experience in similar transactions, with no use of LLM tools involving client confidential information.

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AI-Assisted Legal Services

At the client’s request, we can use our own human-supervised LLM tools to assist with contract review, legal research, drafting, or other legal tasks in an effort to reduce overall costs and turnaround time.

  • This option is only available with the client’s explicit consent.

  • We don’t input client confidential information into an LLM unless and until the client requests it and we mutually agree on the scope of that use.

  • We review all LLM outputs to verify accuracy before incorporation into legal advice.

This option may, in some cases, provide potential benefits such as increased efficiency in document review and more consistent drafting. The availability and extent of these benefits depends on many factors, including matter type, format of expected work product, the LLM used, and the quality of data provided as prompt input.

We discuss each matter individually to determine whether LLM assistance is appropriate, as these tools are not always the right solution for every situation.