Thanks, Aleksey. Good afternoon, everyone, and welcome to our earnings call for the second quarter of fiscal year 2023. Revenue for Q2, 2023 was $34.3 million. Adjusted EBITDA was negative $7.4 million. And we ended the quarter with 1431 customers up 14% year-over-year. Both revenue and adjusted EBITDA were above the high end of our guidance range. With adjusted EBITDA improving by over $5 million year-over-year. And adjusted EBITDA margin improving by more than 1700 basis points quarter-over-quarter. We are pleased with our results and our progress toward profitability. On prior earnings calls, we discussed the various sales and marketing performance drivers that are improving. We discussed seeing continued customer account growth and improvement in pipeline metrics, such as needing near term opportunities. And when that improvement continued Q2 compared to Q2 of last year, total meetings were up 30%. And near term opportunities were up 20% while at the same time, we have continued to enjoy the highest win rates that we have experienced since our IPO. Inbound leads have more than doubled year-over-year, in part as a result of our recent investments in marketing. While we have continued to see some reductions in usage due to cost optimization, especially from our largest customers, our accelerating sales activity is allowing us to offset these reductions by bringing new customers and matters onto our platform. These positive times tell us that our efforts to increase usage and accelerate product adoption are working. Last year and early this year, we promoted several classes of sales development representatives or SDRs to quota-carrying account executive roles on our inside sales team. These internally promoted reps have seen strong early success, with all reps producing revenue within their first 90 days enroll, and some reps already producing more than $1 million in annualized revenue. We believe that the experience SDRs gain through their time in our SDR program experience that familiarizes them with the digital product suite, our customers the legal industry and legal workflow. And the way a successful sales leaders at Disco’s helps them achieve this kind of rapid success as quota-carrying reps. We believe the pipeline of talent from SDR to inside sales and events lead to other functions, such as customer success and field sales will be an effective and efficient way of growing our sales team going forward. Already, many of our top performers in these roles are alumni of our SDR program. In our review business, we have seen a rebound in activity this quarter, both in the scale of our total pipeline and the size of the deals in our pipeline. One of our key operational initiative has been increasing the percentage of our sales teams and sales reviews successfully. In the first half of this year, more than 60% of our quota-carrying reps generated review revenue, which is almost double the percentage who did so in the first half of the prior year. We have also seen some increases in larger reviews, with one customer that had multiple reviews in the quarter, generating more than $1 million in review revenue in the quarter. This quarter, I would like to highlight a large international law firm that has been a distant eDiscovery user for more than five years. This customer has over 120 matters, running simultaneously on Disco, and generated over $3.5 million in total revenue over the last 12 months. More recently, they have become recurring users of review, with three reviews active in Q2, and several more in the pipeline. Overall, this customer finds that our platform helps them complete legal document review more quickly and efficiently across a wide range of legal matters around the world. Another customer, a global publicly traded shipping company and their AmLaw 100 Law firm has been using Disco for a large global antitrust matter. They began using Disco in Q4 of 2022 and have since increased usage to more than $200,000 this quarter. This customer selected Disco after a rigorous review of our capabilities against our peers. Disco stood out as the company with the most robust technology for handling large datasets and complex review workflows quickly. It has been an exceptional partnership for us. And the perfect example of Disco’s global reach and impact. Now let me turn to R&D. Last earnings call we discussed Disco AI and how our AI capabilities are integrated into our platform and product. We discussed key features powered by AI, such as topic clustering, with automatic indexing, predicted tags, and cross matter AI. We also introduced Cecilia, our integrated AI chatbot for large scale eDiscovery. We continue to believe that our decade long investment in our AI lab and in AI feature engineering, the private data that we have attracted to our platform. The fact that our platform is already the system of engagement for a variety of legal workflows that precede and follow the use of AI and the trust we have earned in the market as a company that productizes cutting edge technology for legal use cases in a reliable, user friendly and secure way. All position as well to lead the legal industry and adoption of AI. While investment in AI is important. It is also important that we continue to deepen our core, non-AI product capabilities. We released three key features in this category this quarter, all of them long demanded by our existing customer base. First is dynamic threading. In a typical email chain, later messages contain copies of earlier messages. When reviewing such an email chain, it is useful to identify the emails that contain unique content and suppress the emails that are included in other emails so that lawyers do not waste time reviewing the same content multiple times. For a long time, Disco has had the capability to limit reviews to emails with unique content, often called inclusive emails. But Disco has identified inclusive emails on a global basis considering all emails in a given review database. In some reviews, customers prefer to identify emails with unique content from a subset of documents, for example, the documents that fall within a certain date range. Dynamic threading allows customers to identify emails with unique content in arbitrary subsets of the documents. And to do so dynamically. That is in real time. As user’s setup review stages in Disco eDiscovery. With Dynamics threading customers and for example, define a review universe using complex searches by keyword, date or AI predicted tags, then reduce that review universe by identifying emails that contain unique content and suppressing other emails. This allows customers to further limit review population and thereby accelerate the process a legal document review. Another exciting product released this quarter is in App Translation. This functionality allows customers to translate documents between over 60 different languages right into Disco platform. Today, lawyers tend to use either expensive third-party translation services, or online translation features intended for consumer use cases that while free and convenient, may leak private data to translation providers. With In App Translation, lawyers can translate documents with a click of a button and do so securely with none of their data leaving the Disco platform. We also released the Cloud connector for Office 365 emails. This allows customers to ingest emails directly from Microsoft Outlook, with no intermediate collection or download step. Today, lawyers frequently have to export data, and then repeat the process for any subsequent collections. With the Outlook Cloud connector, customers can ingest eDiscovery data themselves, with the data flowing directly from Microsoft to Disco. As more corporate data moves to the cloud, we believe that direct connectors like this will become a more and more common way of securely collecting data for legal matters. These connectors build on our whole capabilities, which already allow for preservation in place in a variety of cloud systems, including Office 365. Now let me share our progress on the Cecelia. We are on track to have Cecilia generally available to our customers by the end of this year. In Q2, we began piloting Cecilia with a select customer group. The feedback we have been receiving has been overwhelmingly positive. Cecilia is able to rapidly answer specific questions based on data contained in customer private databases, while citing specific documents and document expert to support her answers. In one instance, Cecilia found an important document that the legal team had not found their original review using traditional review methods. And associates on a separate legal team mentioned that Cecelia would have paid their client thousands of dollars and save the associate’s many hours of document review. This is the kind of impact we are aiming to have. We believe to Cecelia will be a big improvement for our customers and look forward to continuing to expand our Cecelia user base in the coming months. We have noticed that our approach to AI is different from that of many of our competitors is that we are LLM agnostic. We believe that as the years pass and technology matures, there will be many winning LLMs with different brands, weaknesses and optimal used cases. We have engineered our AI platform so that we can use different models for different tasks, including both internal models and third-party models. We believe that flexibility rather than going all in on a single LLM or LLM provider will give us an advantage in bringing the best product capabilities to market and doing so effectively. We look forward to announcing our next set of AI capabilities in the coming quarters. We're happy with the progress we made this quarter and all of our team's accomplishments. With that I will turn it over to Michael.