Let ReviewAI Handle the Pre-signature Phase
ReviewAI provides a review of any contract and automatically redlines, annotates, and provides a risk rating based on your company’s…
When you ask today’s busy lawyers what they most need from legal AI, the answer is tools that help them be more productive like CLM AI contract redlining software.
While much of life might have gone on pause in the last year, contracts didn’t. In fact, lawyers have been handling more contracts than ever. For most companies, hiring more staff just to handle contracts isn’t a viable option. How, then, can lawyers speed up the contracting process and boost their productivity? The answer is having the right technology and features, like the features you can find in the right legal AI contract lifecycle management solution.
Take, for example, redlining contracts.
There are a lot of products and software that claim to help increase the efficiency of your contract review, but does your current contract AI redline your contracts for you? It should.
In a typical legal team, junior lawyers can be tasked with first-pass contract review, with the goal of flagging any issues that appear problematic or go against company standards. For example, if a third-party contract has a questionable clause, the junior attorney will usually circle the clause in red pen or mark it digitally and send it up the chain to senior lawyers for review. The senior lawyers would then review the clause and determine whether it’s something the company is willing to accept.
It doesn’t always go that smoothly, though.
Today’s busy lawyers are handling multiple tasks at once, while also juggling the demands of an increased workload and remote collaboration, meaning that errors can happen. If that clause is on page 45 of a 50-page contract and the lawyer has been reviewing it for several hours, it might not always get the attention it deserves due to fatigue or other priorities.
AI legal document review supports the contract review process and reduces the chance of human error. The contract redlining process is critical to protecting company interests. It’s also a fairly standard process, though it has historically been inefficient and time-consuming. All these factors make redlining a prime candidate for CLM AI.
What if there is a way to automate that first-pass review, better flag potential issues and get the whole job done in less than two minutes?
Tapping into legal contract AI with automated redlining software is an incredible advantage when it comes to keeping up with increasing contract demands. It also creates a legitimate solution for reducing attorneys’ low-value, busy work.
Contract AI redlining isn’t only a tool that’s useful for lawyers – it’s also a great way to allow other business units, like sales or procurement, to engage in self-service. These other departments touch the company’s contracts all the time, but they typically have to wait in line to have their contracts reviewed by legal when they come in.
With ReviewAI contract management, business users can run an AI-powered redline in less than two minutes, spot potential issues right away, determine if there are problems to solve and then automatically escalate critical issues to legal as necessary. The redlining provided by CLM AI essentially allows business users to self-service the review of common contracts such as NDAs.
As with any contract AI, automating the redlining process isn’t replacing lawyers, it’s helping them be better at their jobs. It even performs a critical training function for junior lawyers and new legal team members. Company playbooks are based on decades of institutional knowledge. As junior lawyers see the AI data extraction results the software produces, they learn the playbook, essentially learning from the company’s best and brightest.
ReviewAI contract management from Onit redlines and automates your contract review, applying your playbook to find the things humans might miss and looking for any crucial terms that are missing. CLM AI takes less than two minutes, speeds up contract review by up to 70% and increases productivity by more than 50%.
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