 Thank you so much for that lovely introduction. Thank you for making to this talk. Our digital tools burning us out. We know we use digital tools to help us streamline our workflows, but then there are very repetitive workflows that we see day-to-day on our digital tools. Research tells us that lawyers especially are overworked. They work long hours reviewing contracts and negotiating contracts which are worth millions of dollars, typically late at night. And sometimes it happens that at 2 a.m. they actually make a mistake. What do you empathize with them? Hi, I'm Saurav Anand and here's a mug shot of me again for those who can't see me from the back. This is my first time presenting at a UX conference. And today I'll be talking about empowering lawyers with artificial intelligence. This is my work over the last three months that I'm going to summarize in under nine minutes. So maybe we need to empathize with lawyers a bit more. They work in highly strenuous work environments, meeting deadlines, and maybe we need to empathize with how the digital tools that they're using do not have repetitive workflows. Me with my team member, Amrit, we worked with lawyers and subject matter experts to understand what are the high-impact, high-risk, and often long workflows that are there in contracts and we tried to understand what contract redlining is. Contract redlining is generally what is negotiation of a contract is. And we worked with machine learning experts to simplify this tedious and time-consuming process by introducing ML and generative AI capabilities to contract negotiations and redlining. We worked at the intersection of human-centered designs and artificial intelligence. And this is where the magic happens, right? We did user research studies with a group of lawyers to understand what are the pain points when they do auto redlining or redlining of contracts. And we worked with machine learning experts to understand and get the right models created and interfaces created to help us help the lawyers train these models so that the reviewer's review work reduces. Contract review takes a lot of time and with models which have high precision scores, they can reduce these review times drastically. Then worked with artificial intelligence experts to get generative AI to give predictive capabilities to the lawyers so that they know what's the next step like and they can use generative AI capabilities to help them go through their workflows faster. Let me take you through the user experience that we created to help lawyers do this and do the contract redlining in a much better way. This is a showcase reveal, show real showcasing of work. Let's see how that works. Upload a counterparty draft to the platform and click edit. Let's Siri on AI kickstart the review. Your document should be ready in a few seconds and you'll have the document summary ready. Showing your risk suggestions, missing clauses, hidden changes and AI drafting recommendations, you'll get the full list of redlined items. Drill down the view remedial options, check out for related comments and information. You may just accept or discard the changes suggested by the AI. Want to see some additional suggestions that haven't been redlined? Just select text and click on ask sirion. Type prompts or select one of the prompts from the dropdown in the AI will generate suggestions. You can keep generating more versions or refine it further, accepted when you are good to go. Contract review made simpler, smarter and faster than ever before with Siri on AI. So you see how redlining work which generally takes days or months to complete can become very easy. If we have AI suggestions and also backed by machine learning data, lawyers feel more empowered in that way. They don't make that many mistakes. And the review work just gets shortened drastically. Thank you. That was my talk for today. For any question and answers, please feel free to reach out to me.