ZFusion Tech aims to take the intellectual property to a new era. We provide an end-to-end solution to efficiently address the service need of our customers in the area of the intellectual property. We build an artificial intelligence assistant called "Small Z" to facilitate the process of services. The AI assistant is built upon the domain-specific knowledge extracted from massive data of intellectual property via cutting-edge artificial intelligence techniques. It is capable of understanding human language and provides targeted conversational assistance to our customers.
Klarity uses Artificial Intelligence to review sales contracts under your company legal policy. Klarity pulls contracts from your emails and databases and returns them reviewed in a Word format with annotations and redlines along with a summary. Your company experiences accelerated sales and higher compliance without having to think of contract review anymore. Klarity was founded by Andrew Antos, a Harvard lawyer with experience from BigLaw, and Nischal Nadhamuni, a MIT Computer Science graduate with background in Artificial Intelligence. You can read Klarity's full story here and here.
Simon Says is a website that securely transcribes your confidential audio/video files in minutes with speech recognition. Users can then share projects within teams and search, annotate, and export them. We help lawyers significantly increase efficiency by accurately transcribing interviews, calls, and court recordings, allowing them to focus on the meaningful dialogue.
The semantic modeling of clauses and texts - aka understanding the meaning of clauses - enables the system to assess the clauses and contracts holistically. It allows a direct comparison of contracts based on their meaning rather than on the actual wording. Using this technology, the system can come up with similar clauses during writing, highlight duplicates and potential contradictions. Another use case is to automatically process, understand, route, and compare incoming documents with internal standards. Additionally, the semantic processing of contract text through AI can help by detecting inapplicable, missing information, and unclear formulation as depicted below. The system suggests potential flaws in clauses and makes optimization suggestions to the editor of the contract. The system is provided as micro services and can therefore integrate into any given (computerized) process within a law firm. We are aware of the fact that there is no standard for the legal domain rather than historically developed internal “standards” for software usage per each law firm/practise.
Specifio augments law firm patent practices with cutting-edge deep learning and natural language generation technologies. It generates complete patent application drafts based on concise practitioner inputs. Practitioners can now maximize their time and expertise by focusing on the client experience and only key aspects of the patent preparation process. Specifio handles the rest with near-instantaneous turnaround. It’s like text auto-complete, but for entire patent applications. With Specifio, there is no software to install or new tools to learn making it a seamless addition to any patent practice. The dramatically boosted per-practitioner throughput combined with increasingly popular fixed fee client billing translates to substantially improved profit margins per billable hour.