Generating Articles From Time Series Data
We turn data into natural language stories with our flexible NLG system.
Read case study →A patent attorney will typically spend 10-30 hours on a patent application draft. Some of the work isn’t exactly pleasant: tedious copy-pasting, manually adjusting verb tenses, checking a vs. the, or drawing the same basic diagrams over and over again.
This process is expensive for a client, but it’s also absolutely essential that it be completed flawlessly as a client’s IP protection depends entirely on the tiny nuances of the patent language, and a single mistake can potentially ruin a business. San Francisco-based patent drafting company Patent Theory had the idea to create the perfect tool for this process, and we at Bohemian AI provided our support and skills to help make it happen.
Patent Theory’s AutoDraft is a result of Bohemian AI’s technical mastery and Patent Theory’s deep IP expertise banding together to create a remarkable legal-tech product. AutoDraft is a hybrid application leveraging both machine learning and rule-based NLP mechanisms to achieve the right balance between flexibility and rigidity.
We turn data into natural language stories with our flexible NLG system.
Read case study →See how AI opens new revenue streams for law firms and legal tech companies alike.
Read case study →Redefining fact-checking workflow with artificial intelligence.
Read case study →