Explaining legal contracts to SMEs through conversational AI trained on open sourced contracts

中小企业占英国企业的99.2%（ONS），但只有24%可以找到负担得起的法律的服务提供商（LSB 2017）。事实上，YouGov和CEBR发现，中小企业往往完全无法解决其法律的问题，导致每年价值136亿英镑的法律的成本。Genie的数据显示，由于客户和合作伙伴的多样性，服务型企业的合同需求有所增加。尽管如此，一项对Genie平台上43名用户的调查显示，“理解”法律的文档是他们面临的最大挑战。我们的建议是创建一个最先进的、大规模的Transformer语言模型，可以解释和总结法律的条款，其次，增加检索能力，这样它也可以解释什么是市场标准，无论是服务协议中的责任上限还是雇佣合同中的工资。这意味着当一家小型服务公司试图提供服务、雇佣员工、转让知识产权或筹集投资时，他们可以获得无与伦比的自动指导，了解如何创建/审查法律的协议。这包括总结条款以帮助理解，解释经常谈判的内容以及哪些商业条款是市场标准。

SMEs make up 99.2% of UK businesses (ONS), yet only 24% can find an affordable legal services provider (LSB 2017). In fact, YouGov and CEBR found SMEs often completely fail to resolve their legal issues, resulting in legal costs worth £13.6bn a year.Genie's data shows that service-based businesses have increased contractual needs due to their variety of clients and partners. Despite this, a survey of 43 users on Genie's platform stated "understanding" legal documents was their biggest challenge.Our proposal is to create a state of the art, large scale transformer language models that can explain and summarize legal clauses, but secondly, to augment it with retrieval capability so that it can also explain what is market standard, whether that's a liability cap in a service agreement or a salary in an employment contract.This means when a small services company is trying to offer their services, employ someone, transfer IP or raise investment, they can receive unparalleled automatic guidance of how to create/review legal agreements. This includes summarizing clauses to aid understanding, explaining what is often negotiated and which commercial terms are market standard.