Scale LLP, a forward-thinking law firm based in Silicon Valley, faced the challenge of optimizing its patent drafting process. Traditionally, many parts of the process were time-consuming and cumbersome.
The firm needed a solution that not only accelerated drafting but also enhanced the quality of the patents it drafts and the service it provides to clients.
By adopting Solve Intelligence Patent Copilot™, Alexander Slafkosky has ‘changed how he practices patent law’.
He now starts with a single robust independent claim, then uploads the disclosure materials: video call transcripts, technical materials and rough notes. He uses Patent Copilot™ to draft 20–40 dependent claims before cutting them down and asking the AI to add to any soft spots identified.
He then builds out the specification iteratively, using the AI to draft technical benefits and alternative options, and finally uses Patent Copilot™ to draft the ‘necessary but boring’ parts, such as the summary and EP styles.
“My work has become more strategic and analytical and less wheel-spinning, which ultimately leads to better patent applications.”
Using this process with Patent Copilot™, Alexander Slafkosky has seen 40–60% efficiency gains in his workflows. In three recent provisional applications:
For Scale LLP and its clients, that means:
