下载PDF
---nasdaq--amzn_14.jpg "Amazon Web Services Logo")
Using Machine Learning on AWS to Eliminate Manual Contract Reviews
技术
- 分析与建模 - 机器学习
- 分析与建模 - 自然语言处理 (NLP)
适用行业
- Software
- Professional Service
适用功能
- 商业运营
- 销售与市场营销
用例
- 计算机视觉
服务
- 数据科学服务
- 云规划/设计/实施服务
挑战
Companies experiencing rapid growth often lack the bandwidth to track each line of every contract, service agreement, or legal document before it’s executed. Even in the most carefully reviewed agreements, some information is forgotten as soon as the contract is signed. Once the business has matured and due diligence projects arise (for example, when a law changes or an acquisition takes place), companies must conduct detailed reviews of all signed contracts and identify specific terms within them. LinkSquares’ founders experienced the painful reality of reviewing existing legal contracts firsthand while their previous employer underwent an acquisition. The team identified existing software solutions helping companies efficiently address the pre-signature workflow: contract creation, terms negotiation, and internal workflow. However, the industry lacked a software solution to help companies mine for information in existing contracts.
关于客户
LinkSquares is an industry disruptor in contract review, providing high-growth companies with a suite of tools to complete fast and systematic legal reviews of executed business agreements. The company was founded by individuals who experienced the painful reality of reviewing existing legal contracts firsthand while their previous employer underwent an acquisition. They identified a gap in the market for a software solution to help companies mine for information in existing contracts, and thus, LinkSquares was born. The company is focused on post-signature contract analysis and does not deal with anything pre-signature. They built their software as a service (SaaS) offering on AWS to quickly migrate companies from their existing storage solutions and enable them to understand what they agreed to in their contracts.
解决方案
LinkSquares turned to SFL Scientific, a data science consulting firm, AWS Partner Network (APN) Consulting Partner and AWS Machine Learning Competency Partner, to build a scalable solution for identifying and classifying legal language. SFL Scientific used Natural Language Processing (NLP), an Artificial Intelligence (AI) method helping computers understand and interpret human language, to build its machine learning algorithm. Implementing the algorithm enabled LinkSquares’ software to extract key terms from a document and tokenize these terms into predefined categories. Upon deployment on AWS, the algorithm ran the code on demand. Whenever a document was uploaded, the machine learning code automatically launched. The NLP algorithm developed by SFL completely revolutionized the post-signature contract review process for LinkSquares. The machine learning code enables the LinkSquares software platform to automatically run code on thousands of documents in seconds.
运营影响
数量效益
相关案例.
Case Study
Factor-y S.r.l. – Establishes a cost-effective, security-rich development environment with SoftLayer technology
Factor-y S.r.l., a web portal developer, was faced with the challenge of migrating its development infrastructure to a reliable cloud services provider with highly responsive technical support. The company needed a solution that would not only provide a secure and reliable environment but also support its expansion by providing resources to create and deliver innovative offerings.
Case Study
UBM plc: Taking the pulse of the business and engaging employees with a far-reaching strategic transformation
UBM, a leading global events business, was undergoing a significant strategic transformation named 'Events First'. As part of this transformation, the company was preparing to complete the largest acquisition in its history - Advanstar, a US-based events and marketing services business valued at more than USD970m. The company faced the risk of human capital flight if it was unable to effectively engage top talent with the new strategic direction. UBM needed to make significant structural, process and systems changes, uniting its previously autonomous regional businesses. The challenge was to ensure all of its employees were engaged and aligned with the new future vision.
Case Study
Darwin Ecosystem: Accelerating discovery and insight through cutting-edge big data and cognitive technologies
Darwin Ecosystem was founded with a unique vision of harnessing chaos theory mathematics to uncover previously hidden connections in unstructured data. The company’s algorithms can look at all the data generated by any source (such as news, RSS feeds and Twitter), and analyze how a specific set of concepts within that data are evolving over time. This is particularly valuable in situations such as business and competitive intelligence, social research, brand monitoring, legal discovery, risk mitigation and even law enforcement. A common problem in these areas is that a regular web search will only turn up the all-time most popular answers to a given question – but what the expert researcher is actually interested in is the moment-tomoment evolution of the data available on that topic. Darwin’s algorithm is computationally intensive, and the sources of data it correlates can be vast. To bring its benefits to a larger commercial audience, Darwin needed to find a way to make it scale.
Case Study
Wittmann EDV-Systeme launches IT monitoring services
Small and medium-sized businesses often lack the know-how and resources required for thorough IT system monitoring. Wittmann EDV-Systeme wanted to launch a solution to plug the gap – enabling it to improve its own competitiveness and that of its customers. IT landscapes are becoming ever more complex and outsourcing is gaining popularity, IT systems must nonetheless remain easy-to-use and extremely reliable at all times. Automated, round-the-clock system monitoring therefore represents an immensely valuable proposition for companies: downtime for business-critical applications can be avoided, and IT systems remain available at all times.
Case Study
Zend accelerates, simplifies PHP development
Zend Technologies, a major contributor to the PHP open source community, needed to keep pace with emerging trends such as mobility, agile development, application lifecycle management and continuous delivery. The company needed to provide the right tools to the worldwide community of PHP developers. The challenge was to support enterprise-class capabilities from end to end, including mobile, compliance and security. The pace of business required developers to show results fast across a variety of devices without compromising quality or security.
Case Study
Delivering modern data protection with cloud scale backup from Cobalt Iron and IBM
Organizations are struggling to modernize their legacy data protection environments in the face of growing demands around new infrastructure, new applications, and budget consolidation. Virtualization and modern application development processes have significantly outgrown legacy backup architectures. In response, infrastructure teams have created multiple backup solution types to handle the varying SLAs (performance, scale, cost) required by their business sponsors. However, the sheer number and variety of solutions in this uncontrolled expansion creates huge amounts of work, threatening to overwhelm the IT team in many organizations. Today, developers may add new applications and virtual server instances by the hundreds per day without accounting for the restrictions of the existing backup infrastructure. They leverage the cloud for immediate compute and storage resources, yet rarely communicate succinctly with corporate IT to ensure that the appropriate data protection services are in place.
