IntelPact - Contractual obligation extraction using artificial intelligence

“公司不断受到不断增加的合同义务管理的挑战，从付款时间表、交付计划到监管和合规报告。这些任务目前是手动完成的，通过每一个合同，试图手工检测义务，并以某种方式组织这些信息，以便能够管理它。目前，手动内部合同管理的唯一替代方案是专业服务公司（律师或咨询公司）。不幸的是，他们也使用相同的方法，这意味着他们以手动，非标准化的方式解决问题，为使用创新解决方案的自动化提供了足够的空间。该项目提出使用人工智能，特别是机器学习，自然语言处理和智能合约自动化义务提取任务。由于提取的信息已经是机器可读的格式，我们还建议开发软件，执行与债务管理有关的工作流程（例如付款日历，报告通知等）。该解决方案可直接访问或作为服务访问，将帮助法律的、商业和合规专业人员加快合同审查和分析，并避免手动将数据输入公司系统，使他们能够专注于更高价值的任务。它将通过减少手动任务所花费的时间来节省大量成本（50-90%）。除此之外，我们预计运营风险将大幅降低，从而降低诉讼成本和潜在处罚。"

"Companies are constantly challenged by the management of the ever-increasing contractual obligations, from payment schedules, delivery plans, to regulatory and compliance reporting. These tasks are currently done manually, going through every single contract, trying to detect the obligations by hand and somehow organising this information to be able to manage it.Currently, the only alternative to manual in-house contract management is professional service companies (lawyers or consultancies). Unfortunately, they also use the same methodology which means that they address the problem in a manual, non-standardised manner, allowing ample room for automation using innovative solutions.This project proposes the automation of the obligation extraction task using artificial intelligence, especially machine learning, natural language processing and smart contracts. Since the extracted information will be already in machine readable format we also propose the development of software the implements the workflows that have to do with obligation management(e.g. payment calendars, reporting notifications,etc.).The solution, accessed directly or as a service, will help legal, commercial and compliance professionals to accelerate contract review and analysis as well as avoid manual data entry into corporate systems allowing them to focus on higher value tasks. It will generate significant cost savings (50-90%) through the reduction of the time spent on manual tasks. On top of that, we expect significant operational risk reduction which will lead to reduced costs of litigation and potential penalties."