DorothyAI

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DorothyAI offers AI-powered tools designed for intellectual property professionals, streamlining patent search and analysis.

How DorothyAI can help you:

Efficiently sift through vast amounts of patents with AI-driven precision.
Manage risk by identifying litigious competitors and potential IP roadblocks early.
Facilitate successful product launches with dynamic and insightful risk assessments.
Analyze novelty, compare competitor portfolios, and devise international filing strategies with ease.
Generate comprehensive, shareable reports to keep stakeholders informed.

Why choose DorothyAI: Key features

Combines AI technology with decades of patent law experience for superior results.
Activ8 tools for procurement, risk management, market analysis, and dynamic reporting.
Data compiled from 13 different sources for a thorough IP landscape analysis.
Proprietary "Jurisdictional Realities Database" aids in strategic filing across various jurisdictions.

Who should choose DorothyAI:

Intellectual Property Professionals looking for a comprehensive suite of AI-driven IP tools.
General Counsel, Chief IP Counsel, and R&D Heads in need of robust patent search and analysis capabilities.
Legal professionals seeking to enhance IP portfolio management and strategic decision-making.

About DorothyAI

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https://www.dorothyai.com

Release Date

March 2024

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Patent Law Can't Keep Up With AI's Pace Of Change, Creating Massive Risk And Massive Opportunity

The existing U.S. legal framework for the protection of intellectual property through patents and copyrights is groaning under the strain of AI's massive acceleration of human creativity and invention. The cracks that are appearing represent huge opportunities for entrepreneurs and startups - and significant and growing risks for incumbents. The leverage that AI can provide a startup or even a single entrepreneur, combined with the huge gray areas in IP law, means that new AI-assisted product and process innovations - and possibly even AI prompts themselves - could now be patentable. That could create scenarios, given the "first to file" system for patent priority in the US, in which a vast gold rush for patents on AI-assisted inventions starts. Where it stops, no one quite knows. When it stops is probably only after courts and the Congress catch up. How long that will take, given the speed of change, the many sides with interests tied up in the issue, and the massive financial stakes, is highly uncertain. And the amount of money to be made and lost in the process means companies ignore the question at their significant peril. This isn't the first time this has happened -- US patent and IP law always lag behind changes in technology. There was much uncertainty around whether software was patentable in the 1960s and 70s, and there were titanic legal battles over biotech and gene patents, as well as protecting the IP aspects of the Internet and e-commerce. And there's little doubt that federal courts - and potentially the Congress -- will, at some point, need to wade into many of these issues to provide definition and clarity. But as in those earlier cases of fast-moving technology, the speed of reality is far exceeding the speed with which the legal frameworks can be remade. That's an invitation for bold action and pushing boundaries. Given the speed at which AI platforms self-improve, this is almost like a warp in the fabric of innovation opportunity. Since software's functionality can be patented if it accomplishes an action or approaches a problem in a unique way, the idea of seeking protection for an algorithm whose code was generated by an AI platform in response to a prompt written in English by a human is not far-fetched. By offering high-powered, low-cost support in the creation of new IP, large language models can make traditional barriers to entry far less powerful. If an LLM can replace an office campus full of engineers in the development of software, then a single founder with a particular insight and a knowledge of how to employ an AI platform could conceivably create patentable code that unlocks a new market - or blocks a highly established company from pursuing it in the same way without permission. So in theory the threat and opportunity level in the intellectual property world is flashing red - or green, depending on which side you're coming from. If a prompt given to a large language model (LLM) describes an innovative algorithm in a general way, and the LLM generates source code that performs this algorithm, then the prompt itself could help secure a patent for the algorithm. That's because the LLM can quickly create working versions of the algorithm, proving its functionality, which is necessary for patentability -- and do so very quickly. Additionally, the LLM enables people without coding skills to demonstrate that their innovative algorithms work, making it easier for a wider range of people to both create working versions of software and to obtain patents on that software. The speed and ability to innovate becomes even more intimidating as we start to see the early work of "agent-based AI," where two or more AI systems communicate with each other. One platform gets the prompt and the second can evaluate the prompt or access data to assist the first. The platforms can share and iterate - kind of exactly how software engineers working at a company would over weeks or months of pizza-fueled all-nighters. The difference, of course, is the agent-based AI systems can iterate quite literally at the speed of light. If that's not scary enough, in this agent-based scenario, the innovator can potentially start out with a high level description of an algorithm - quite short on specifics - and use this type of agent-based AI to create a range of ways of making the algorithm work. That could result, under our current patent law framework, in a very broad patent that is also highly defensible. And it could severely restrict the economic opportunity for others in the same field. Is that scenario certain? Definitely not. The best case for the prompts being patentable in a case described above is if they seek the creation of code or products that are new and not obvious. Another way to understand the impact of AI in this context is that, in the past, when a new invention was created (like the steam engine), it took a long time for the inventor of that technology -- and other inventors -- to improve on that invention and to come up with ways to use it in different types of machines and processes (e.g., steam train, steam ship, etc.). That meant that many people typically obtained patent protection over a range of related technologies over some number of years. Innovating was anything but frictionless, and the time, effort, talent and money required for innovation acted as a safeguard against concentration of innovation and patents. But with AI, when someone creates an initial invention, AI makes it increasingly possible for that initial inventor to flesh out different variations of that invention and applications thereof more easily and rapidly. That in turn makes it easier for the initial inventor to get protection for a broad range of inventions surrounding the initial invention more quickly and inexpensively -- and before others have time to obtain competing IP. This is how AI is both compressing the timescale of innovation and putting immense pressure on everyone to innovate rapidly and to obtain IP protection for their inventions that is as broad as possible, as quickly as possible. It is, in effect, pulling the friction out of innovation. Open AI founder Sam Altman recently said that he thinks AI can help create a billion dollar unicorn startup with only the founder on its payroll. Whether that becomes literally true or not doesn't matter - the idea he's expressing is directionally correct. A founder who's savvy in the use of AI could create an astonishingly valuable business with shockingly little capital and very few employees -- and very quickly. And under current patent law, erect a legal protective wall around how they did it so others couldn't follow without paying a toll. That means no company, no matter how impenetrable its barriers to entry and its IP protections seem today, is invulnerable. AI platforms can reduce the time and expense of innovation and therefore reduce the cost of failure. A reduced cost of failure means a vastly reduced cost and speed of iteration. The data from failures becomes grist for the AI mill to help it figure out how to succeed. This all means that competitors - and invisible one-person startups you didn't know were competitors - can be studying what your company is up to, determining what your likely next steps are, and using AI as their R&D engine, take away your future. And if those competitors have IP protection for their AI-assisted innovations, you'll be legally blocked from competing with them. Those are the threats. But the opportunity is similarly massive. A company should have better existing data about its market, its customers, its processes, its opportunities, and its technology than a new market entrant would. It also will have existing relationships with customers and a much better ability to sell new and innovative services to them than a new-entrant competitor would. The large company might even have long-term / exclusive contracts with its customers, which can in themselves be a significant barrier to entry to a newcomer. Finally, a successful existing company should have greater scale and resources, and be able to put all those together through the magnifying and amplifying lens of AI, to get there first with something better. AI is raising the bar for what's patentable, as it in effect makes the way to do new things more obvious, and therefore potentially not protectable. So an existing market participant needs to leverage AI to maximize its inventive skills and help power it past that obviousness threshold. The bar, in other words, is going up - but so is your leaping ability. The practical and more specific implications for companies are that they need to accelerate the pace of their patent filings. Of course a patent attorney like me would say so - but it's reality. We've got a first to file system in the U.S. and I fear smart innovators armed with AI will be jamming up the filing windows. We're entering a time of uncertain boundaries, changing legal frameworks, decreased friction and increased competition. The acceleration in the business world from AI has only barely begun - but watch as these jets kick in. The economic G-forces will be remarkable. Don't sit on the sidelines while others fly the plane. Market News and Data brought to you by Benzinga APIs

Benzinga

Wed, 17 Jul, 10:03 PM UTC

Top 8 AI Tools for Legal Professionals

According to a 2024 generative AI report, the adoption of AI in the legal profession shows that 14% of law firm and corporate legal respondents are already using AI technology, 12% are planning to use it, 35% are considering whether or not to use it, and 40% currently have no plans to use AI. Additionally, 27% of legal industry respondents said they use open-source AI tools like ChatGPT today, while 43% plan to use legal-specific AI tools within the next three years. Here are a few AI tools for legal professionals to explore. Casetext Casetext, one of the best legal research tools on the market, and its new AI assistant has the potential to make it even more useful. Casetext speeds up the research process with its AI assistant called CoCounsel, which was developed in collaboration with OpenAI and built on top of GPT-4 with customizations for the legal industry. Casetext claims that CoCounsel can write and comprehend at a postgraduate level. Beyond legal research, CoCounsel can also help with reviewing documents, searching databases to discover relevant information, preparing for trial, summarising findings, and laying out the basics for a legal memo. Detangle.ai Detangle makes innovative use of AI technology to summarise lengthy legal research and transform complex jargon into plain English. By simplifying and explaining legal terminology, detangle helps one save thousands in legal fees and boost one's confidence in legal matters. The detangled document provides a concise 1-2 paragraph summary, so one can immediately understand the key points. With a simple interface, one can upload assets or paste URLs to get AI-generated summaries of lengthy documents, audio files, or videos, making complex legal jargon easy to understand. Amto Amto utilises 692 proprietary AI algorithms specifically trained for lawyers, to enhance online visibility, attract quality leads, and convert them into loyal clients. Amto combines human expertise with AI for superior legal marketing; expert lawyers curate content, while AI selects ideal keywords to target the audience effectively. It ensures all strategies comply with ABA guidelines, safeguarding the integrity of one's practice. The services include using generative AI based on ChatGPT for drafting legal documents, letters, and emails, providing instant revisions, recommending missing clauses, identifying research gaps, and creating client reminders for deadlines and important dates. AI Lawyer AI Lawyer is an innovative tool designed for everyone. It avoids expensive legal consultations, long waits for appointments, and confusing legal texts. It provides legal information and simplifies legal language for general audiences, supports lawyers in legal research and strategy development, and helps law students hone their research skills and gain insights into modern legal trends. AI Lawyer's best features include providing fast, easy-to-understand insights into complex legal issues, summarising uploaded documents, and creating simple legal agreements in minutes. Lawgeex Lawgeex contract review automation solution, powered by patented AI technology, reviews and redlines legal documents based on one's predefined policies. Unlike other solutions, Lawgeex comprehends contractual context and one's position, ensuring consistency across contracts, saving time and money, and expediting deal closures. This AI-driven tool supports high-volume contract analysis for non-disclosures, service agreements, and more. It integrates with popular CRM systems and other apps, allowing for automatic redlining via email or direct integration, making the review process efficient and seamless. Lex Machina Lex Machina, a legal analytics company owned by LexisNexis, leverages AI technology to review and sort court documents, enabling users to discover trends among parties, lawyers, judges, and courts. The data includes findings, damages, and case outcomes. Lex Machina continuously crawls databases such as the USPTO, ITC/EDIS, PACER, and state court data every 24 hours, ensuring the AI platform has access to the latest information on millions of cases. This comprehensive data collection allows Lex Machina to deliver a vast array of AI-driven insights. Law.co Law.co (AI) platform for lawyers and law firms, is designed to digitise and optimise legal operations. It automates and streamlines complex legal processes and research, while enhancing contract drafting and editing with the power of GPT. This powerhouse platform leverages AI to revolutionise law firms' operations, offering cutting-edge features like automated legal drafting, contract review, and enhanced legal research. Law.co also utilises GPT and an advanced semantic search engine, providing powerful access to queries with contextual understanding and continuous learning capabilities. Additionally, the platform is multilingual, making it an excellent choice for firms offering services in multiple languages. Harvey AI Harvey AI stands among other AI-driven legal tools for its predictive abilities. It dissects extensive legal databases, delves into case histories, and analyses legal trends to provide well-informed predictions about case trajectories. This enables proactive decision-making by leveraging data-driven insights, setting it apart as a distinctive advantage. Harvey AI's ability to detect early warning signs and suggest risk-mitigation strategies can revolutionise internal procedures. It goes beyond reactive legal actions, empowering organisations to make proactive decisions, a feature that marketers can highlight to showcase its unique benefits.

Analytics India Magazine

Fri, 19 Jul, 8:00 AM UTC

How rapid technological progress is transforming the IP property landscape in SA

Rapid technological progress has revolutionised the intellectual property (IP) landscape. This is especially true when it comes to data management and the increasing role of artificial intelligence (AI) in the workplace. Now, more than ever, there is a need for an IP strategy with strong governance principles for every business, regardless of size and industry. These are the views of Dentons South Africa's Intellectual Property team, Muhammad Patel and Amaarah Kapdi, who say that there is no doubt that data and IP have become extremely valuable. "If you are a company, it is easy to collect information from others, allowing the company that collected the data to use it to its benefit," says Patel. Patel uses the example of online retailers, such as Amazon and Takealot, which use online users' shopping habits to inform how they target consumers and this, in turn, helps them develop their strategies. "Bringing AI into the equation complicates matters further, especially given the rapid advance and use of this technology," says Patel. "It does have distinct advantages, such as its ability to track assets and identify when intellectual property has been breached - which could come from AI solutions such as Bard, Google's offering, or ChatGPT." Blurring the lines Reports suggest that AI models are trained on a body of created work that is already online, and it's not clear yet what the legal precedent may be for reusing this content if it is taken from others' IPs. Take, for example, The New York Times' lawsuit against AI offerings, such as Bard and ChatGPT, for using content without permission. The matter took a strange turn when publishers signed deals with AI companies, paying millions of dollars to protect their content through referrals back to their websites. "The risk, however, is in protecting intellectual property when it is breached in another jurisdiction because there are often no clear rules around dominion given that data knows no borders, while IP traditionally used to be resident within clear geographical lines." Kapdi explains that because there is a broad consensus regarding the possible impact of unregulated AI, governments worldwide are busy developing policies to mitigate this risk. Africa and South Africa "Several African jurisdictions have taken steps to address this unique policy challenge, with various African countries implementing AI strategies, others still in the process of consultation with stakeholders on AI policies, and some African countries yet to make any pronouncements on their approach towards AI regulation." However, this covers the broad aspects of AI and is not specific to IP. Currently, South Africa does not have regulations and uses data protection laws, such as the Protection of Personal Information Act PoPAI), to protect data. Managing data with an IP strategy "Digitised IP management tools help protect against IP-related data that could well otherwise be infringed, especially if it is easily available on the World Wide Web, because a trademark hasn't been updated, or the patent has expired," explains Kapdi. Such reliable tools protect assets against potential loss or legal complications. "Digitised IP management tools improve the efficiency and streamlining of the IP practice in South Africa, but they are just one aspect that needs to be brought into an IP strategy. Every company needs such a plan, no matter how big or small they may be," says Kapdi. Patel and Kapdi explain that an IP strategy, which ensures that governance is in place, must include aspects such as data management to ensure that copyright is thoroughly protected. As part of this, companies need to ensure that they update their trademarks far more often than what was typically the case in terms of 10 yearly reviews, which is an aspect with which a governance strategy can assist. "Used correctly, AI to assist with IP can be a massive help. However, the associated risks to companies' mission-critical data need to be carefully managed through a comprehensive strategy that includes all the potential legal implications," concludes Patel. All rights reserved. © 2022. Bizcommunity.com Provided by SyndiGate Media Inc. (Syndigate.info).

Zawya.com

Thu, 25 Jul, 12:01 PM UTC

How AI Tools Improve Efficiency and Productivity of Lawyers

The use of AI in law practice brings up improvements for redundant work as well as the aptitude to look for information and the priceless point of view. Being used in procedures as diverse as assessing documents, improving the approaches to contracts and making communications with customers, AI is changing the whole spectrum of legal work. By applying these technologies, attorneys can increase productivity enabling them work more efficiently on matters of strategic value rather than reformatting documents. These developments, therefore, allow the expertise in law to stay ahead of the market so that legal professionals meet the current society's standard as well as the highest standards of quality. How Do AI Tools Automate Document Review and Analysis? AI tools like Kira Systems and Luminance utilize machine learning algorithms to automate the document review process. These tools can quickly scan and interpret large volumes of documents, identifying relevant information and flagging potential issues. By doing so, they significantly reduce the time lawyers spend on manual document review. For instance, AI can extract key clauses from contracts, identify inconsistencies, and highlight areas that require attention. This automation minimizes human error and ensures a higher level of accuracy and consistency. Additionally, AI-powered document analysis tools can learn from each review session, continuously improving their accuracy and efficiency over time. As a result, lawyers can focus more on strategic aspects of their work, such as advising clients and developing case strategies, rather than being bogged down by tedious document review tasks. How Do AI Tools Enhance Legal Research? AI-powered legal research tools like Ravel Law and Casetext revolutionize the way lawyers conduct legal research. These tools leverage natural language processing (NLP) to analyze legal texts, including case law, statutes, and regulations. By doing so, they can quickly sift through vast databases to find the most relevant information. This capability allows lawyers to build stronger cases more efficiently by accessing pertinent legal precedents and authoritative sources in a fraction of the time it would take using traditional research methods. Moreover, AI tools can understand the context and nuances of legal queries, providing more accurate and relevant results. This advanced level of research enables lawyers to develop more robust legal arguments and stay current with evolving legal standards. How Do Predictive Analytics Tools Assist Lawyers? Predictive analytics tools like Blue J Legal help lawyers by forecasting the likely outcomes of legal cases based on historical data. These tools analyze past case results and various legal factors to provide insights into the strengths and weaknesses of a case. For example, they can predict the probability of winning a case, estimate potential damages, or suggest the most effective legal strategies. By utilizing predictive analytics, lawyers can make more informed decisions, better assess risks, and optimize their case strategies. This data-driven approach helps in identifying patterns and trends that might not be immediately apparent through manual analysis. How Do AI Tools Streamline Contract Management? AI tools such as Evisort and LawGeex streamline contract management by automating various aspects of the drafting, review, and approval processes. These tools use natural language processing (NLP) to analyze contract language, identify key clauses, and suggest edits. They can also compare contract terms against a database of standard clauses or company policies to ensure compliance with legal and organizational standards. By automating these tasks, AI tools significantly reduce the time and effort required for contract management. They also enhance accuracy by minimizing the risk of overlooking critical details or inconsistencies. How Do AI Chatbots Improve Client Communication? AI chatbots like LawDroid and DoNotPay enhance client communication by providing instant, 24/7 responses to common legal queries. These chatbots can handle routine inquiries, such as questions about legal procedures, document requirements, and appointment scheduling. By automating these interactions, AI chatbots free up lawyers' time to focus on more complex tasks that require human expertise. Additionally, chatbots can assist with document preparation by guiding clients through the process of filling out forms or generating standard legal documents based on user input. This capability not only improves efficiency but also enhances the client experience by providing quick and accurate assistance. Furthermore, AI chatbots can integrate with other legal software, allowing for seamless data transfer and task management. How Do AI Tools Optimize Workflow and Task Management? AI-powered workflow optimization tools like ClickUp and Trello help legal teams manage their tasks more efficiently by automating routine administrative tasks, tracking deadlines, and facilitating collaboration. These tools use AI algorithms to prioritize tasks, assign them to appropriate team members, and monitor progress. They can also send reminders for upcoming deadlines, ensuring that no critical tasks are overlooked. By providing a centralized platform for task management, these tools enhance transparency and accountability within legal teams. How Do AI Tools Enhance Due Diligence? Due diligence is a critical aspect of legal practice, especially in mergers and acquisitions. AI tools like Diligen and Kira Systems automate the due diligence process by quickly analyzing large volumes of documents and identifying potential risks. These tools use machine learning algorithms to extract and review relevant information, such as financial records, contracts, and regulatory filings. By doing so, they significantly reduce the time and effort required for due diligence, allowing lawyers to focus on higher-level analysis and strategic decision-making. How Do AI Tools Facilitate E-Discovery? E-discovery is the process of identifying, collecting, and producing electronically stored information (ESI) in response to legal requests. AI tools like Relativity and Everlaw use advanced algorithms to streamline this process. These tools can quickly sift through vast amounts of data, such as emails, documents, and social media posts, to identify relevant information. By automating the initial review and categorization of data, AI tools significantly reduce the time and cost associated with e-discovery. They also enhance accuracy by ensuring that relevant information is not missed. Additionally, AI tools can perform complex searches using natural language processing (NLP) and machine learning, identifying patterns and connections that might not be immediately apparent.

Analytics Insight

Thu, 25 Jul, 6:01 PM UTC

DISCO Launches Cecilia Auto Review, a Generative AI Tool That Accelerates First-Pass Legal Document Review

CS Disco, Inc. ("DISCO") (NYSE: LAW), a leader in AI-enabled legal technology, announced today the general availability of Cecilia Auto Review, a solution that enables users to perform high-quality document review using generative AI. Cecilia Auto Review, part of the Cecilia AI suite of capabilities, provides accurate, consistent tags for each document, allowing legal professionals to locate documents relevant to legal issues at the outset of a litigation or investigation. Legal teams expend significant budget and resources on the first-pass document review stage, which can delay case strategy and impact a team's ability to effectively counsel clients. Relying on human reviewers for first-pass document reviews can also be costly and lead to inconsistencies. Cecilia Auto Review is a generative AI tool that addresses these challenges by enabling attorneys to review documents faster and more consistently, with the ability to provide detailed explanations for each tagging decision. General availability comes after a series of pilots with top Am Law firms, who came away impressed with the results. DISCO's testing of Cecilia Auto Review on customer data demonstrated review speeds of 3,800 documents per hour -- over a 24 hour period, equivalent to a 140-person review team working an eight-hour day -- and precision and recall metrics 10-20% higher than typical from human reviewers. DISCO will leverage its deep bench of in-house expertise to support and optimize each customer's experience with Cecilia Auto Review. "DISCO has been at the forefront of the industry's generative AI revolution, and we've become known for building intuitive products that apply during all phases of high-stakes litigation," said Devin Kani, VP of Product Management. "Overall, the response from early users has been tremendous, with many telling us how it dramatically accelerated review with highly accurate results. We worked closely with users at top law firms on real case data throughout the development of Cecilia Auto Review, and it enabled us to continually improve our products so that lawyers can effectively leverage them to find evidence and develop their cases faster." "As we integrate AI-driven tools into the suite of solutions we offer our lawyers, we are excited to test promising tools. DISCO's Cecilia Auto Review is such a tool - and we found the verified results of first pass document review to achieve an accuracy level that was game changing for our case team," said Daryl E. Shetterly, Managing Director, Orrick Analytics, Global Operations & Innovation Center. "We believe generative AI solutions like Cecilia will fundamentally improve the practice of law and the value we deliver for our clients." DISCO's evolving Cecilia AI suite gives law firms and corporations modern fact-finding tools that can empower lawyers to improve legal outcomes for their clients. For example, Cecilia Q&A's newest functionality can allow lawyers to ask questions about any single document to securely obtain targeted insights or work product. Cecilia Auto Review is one of five generative AI capabilities DISCO has announced over the past 18 months, and will be the third to go to general availability. "We are fortunate to be collaborating with DISCO on promising generative AI technology like Cecilia Auto Review, which enabled us to identify responsive documents with unprecedented speed," said Shelby Rampolo, Associate, Perkins Coie LLP. "When my team is facing a large document review at the beginning of a key case, Cecilia can not only speed up our ability to advise the client but also enhance the accuracy of the review." Forward-Looking Statement This press release contains forward-looking statements regarding Cecilia Auto Review and DISCO's Cecilia AI suite, including, among other things, the potential benefits derived from the use of Cecilia Auto Review and the ability of Cecilia AI to improve legal outcomes for lawyers. Words such as "may," "should," "will," "believe," "expect," "anticipate," "target," "project," and similar phrases that denote future expectation or intent regarding DISCO's financial results, operations, and other matters are intended to identify forward-looking statements. You should not rely upon forward-looking statements as predictions of future events. The forward-looking statements contained in this press release are subject to a variety of risks, uncertainties, and factors, including those more fully described in our filings with the Securities and Exchange Commission ("SEC"), including our Quarterly Report on Form 10-Q for the quarter ended March 31, 2024, filed with the SEC on May 9, 2024. Further information on potential risks that could affect actual results will be included in the subsequent periodic and current reports and other filings that we make with the SEC from time to time, including our Quarterly Report on Form 10-Q for the quarter ended June 30, 2024. Forward-looking statements represent DISCO's management's beliefs and assumptions only as of the date such statements are made. We undertake no obligation to update any forward-looking statements made in this press release to reflect events or circumstances after the date of this press release or to reflect new information or the occurrence of unanticipated events, except as required by law. About DISCO DISCO (NYSE: LAW) provides cloud-native, artificial intelligence-powered legal product offerings that simplify legal hold, legal request, ediscovery, legal document review and case management for enterprises, law firms, legal services providers, and governments. Our scalable, integrated product offerings enable legal departments to easily collect, process and review enterprise data that is relevant or potentially relevant to legal matters. For more information, visit www.csdisco.com.

Market Screener

Thu, 8 Aug, 2:01 PM UTC

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