Author: Hausmeister

  • Press Release: AI Reduces Lawyers’ Case Preparation Time by Over 90% and Wins in Court

    Press Release: AI Reduces Lawyers’ Case Preparation Time by Over 90% and Wins in Court

    (Brussels, Belgium; March 13, 2025) BrazenTellurite marked a significant milestone in legal innovation by successfully handling two entirely AI-driven court cases. The team gathered in Brussels to witness this historic event in person, demonstrating how artificial intelligence and legal innovation have reached a groundbreaking intersection. BrazenTellurite’s AI autonomously analyzed extensive case files, prepared detailed legal briefs, and efficiently responded to opposing motions—without human intervention.

    This remarkable achievement was made possible by BrazenTellurite’s introduction of “Playbooks”—a method that structures cases using expert legal insights, enabling AI to effectively predict the typical trajectory of a lawsuit. This breakthrough has drastically improved acceptance rates of AI-prepared drafts among lawyers. Previously, manual verification resulted in considerable human oversight. However, with the new Playbook model in place, lawyers now accept AI-generated documents without reservations in around 3 out of any 4 cases.

    “This doesn’t replace attorneys—it empowers them,” says Guy Bockamp, CEO of BrazenTellurite. “By automating routine tasks and intelligently structuring complex cases, we free legal professionals to focus on strategic thinking, advocacy, and client interaction.”

    Today’s milestone results underscore the practical impact of AI in streamlining legal workloads. Of note, typical case preparation, averaging approximately 446 minutes per case, was drastically reduced to just 24 and 31 minutes in the two cases presented today—resulting in a reduction of human preparation time from approximately 7.4 hours down to just 0.4 hours per case, a reduction of 94.46% / 93,01%. While acceptance for AI crafted briefs rose from below 10% to around 72 %. The cases handled involved personal injury claims and medical malpractice.

    Today’s success confirms the significant potential of AI integration into the legal industry, and BrazenTellurite is already in negotiations with several new prospective clients to introduce playbooks to their cases.

    „We call the merger of the playbook structure and AI autonomisation“, explains Bockamp, „it is a synthesis of automation and autonomy“

    BrazenTellurite is an innovative legal technology company committed to transforming the legal industry through advanced artificial intelligence solutions. By integrating expert legal knowledge and cutting-edge AI technologies, BrazenTellurite delivers reliable, efficient, and scalable legal services.

  • Two all-AI-driven cases will be on trial next week

    Two all-AI-driven cases will be on trial next week

    Can’t wait for next week: our team is heading to location where our technology is put to the test—two court cases with (only) AI on our side.

    This isn’t just another legal tech demo. It’s the real-world application of AI-driven case preparation, testing whether AI autonomy can match human lawyers. For years, we’ve built a system for drafting legal documents, but humans always had the final say. And to be frank, they often made changes or rejected drafts altogether.

    we think, legal AI is often dismissed as a inferior supporting tool—limited to document review or simple contract generation. We believe AI-assisted legal work is ready for more complex challenges, and these cases will prove it.

    In cases like this: playbooks

    Our system prepared this case from scratch, using AI-powered automation to analyze legal arguments and refine strategies through an innovation we call playbooks.

    These will be the first two cases where the AI-generated drafts were filed in court without any human objections or modifications. If they stand the test next week, the outcome won’t just validate AI’s capabilities in law—it could reshape the way legal work is done.

    Our team will move to location on Monday to meet with our local partnering lawyers and attend the hearings.

    But this is bigger than just winning a case. It’s about proving that AI can handle high-stakes legal work at a professional level. A successful outcome could mark a turning point, accelerating AI adoption in law firms, corporations, and legal institutions.

    A paradigm shift?

    Imagine AI-powered automation could handle 80% of case preparation, freeing lawyers to focus on high-level strategy and client advocacy?

    What if AI-driven legal support could democratize access to justice by reducing costs and complexity?

    Creating the first playbook took a team of four about six months, and we could easily spend another six refining and A/B testing. But if things go as expected, the next playbook could be up and running in six weeks— and there is no reason, why it shouldn’t be down to six hours before long.

    Next week isn’t just another test. It’s a glimpse into the future of legal AI.

  • Press release: BrazenTellurite considering to buy insolvent RightNow

    (Kassel/Düsseldorf, March 2, 2025) RightNow GmbH, which has filed for insolvency in Germany at the end of February 2025, could be on the verge of a strategic realignment. The German-Estonian LegalAI specialist BrazenTellurite expressed interest in a takeover or participation over the weekend and is already in contact with the insolvency administrator.

    “The overall situation at RightNow seems dire, but perhaps there is still a way to salvage something here – for customers, for investors and for confidence in digital legal services,” says Guy Bockamp, founder of the BrazenTellurite Group, who works as a lawyer in Germany and Belgium.

    RightNow GmbH, known for automated consumer legal claims, had previously experienced economic difficulties. According to Germany’s Manager Magazin [article in German], disputes arose over the management of the company. In Bockamp’s opinion, the industry is now facing not only a financial disaster but also a long-term loss of trust.

    Bockamp blames the insolvency of RightNow primarily on a lack of innovation. It may be very early days, but it seems to him that in recent years RightNow has lacked the financial basis for innovation, particularly in artificial intelligence: “The technological standards that I see at RightNow today correspond to what our customers had already left behind in 2022”.

    The Head of BrazenTellurite also criticized the fact that the company was founded without any involvement from the legal profession. “It just doesn’t work without legal frontline experience,” Bockamp continued. On Saturday morning, Bockamp criticized on LinkedIn that a LegalTech company without lawyers is “like a car repair shop without mechanics”. Among the original three founders of RightNow were two business economists and a legal scholar.

    BrazenTellurite is currently evaluating whether a restructuring or a partial asset purchase makes sense. Bockamp is also not ruling out a participation with other investors. “We are currently analyzing various options and are open to discussions with investors and the insolvency administrator,” explains Bockamp. The Company has so far addressed only business customers, including law firms and consumer protection organizations in several EU countries. Bockamp, an attorney, has been working in the area of LegalTech and LegalAI since 2018 and founded BrazenTellurite in New York (USA) in 2022. The company’s software, which maintains server locations in Finland and Estonia, is being developed in Germany, Estonia and France.

    [post-release update of 2025-04-10]

    Today we have filed a bid to the insolvency administrator’s case handler to take over shares and assets from rightnow. Parts of the deal would be conditional; the details are confidential.

    For media contact, please check PDF file

  • From Bots to Briefs: How AI is Revolutionizing Consumer Law and Access to Justice

    From Bots to Briefs: How AI is Revolutionizing Consumer Law and Access to Justice

    In this age of swiftly advancing technology, intersections between artificial intelligence (AI) and various life aspects have become increasingly common, not least within the frame of law. One such intriguing intersection exists between AI and consumer protection law, with the potential to significantly innovate access to justice.

    Throughout history, the legal process has earned a reputation for complexity and inaccessibility to the average person, often consuming considerable amounts of time even for experienced legal practitioners. In this context arises the commitment to utilise AI with an attempt to render the process more accessible and swift. Tools built using Python and Java are employed to assist individuals in understanding labyrinthine consumer laws, deciphering complex legal language, and making the system simpler and more approachable. After all, the essence of law is in its service to everyone, and not just an advantaged few.

    The application of AI not only simplifies the complexities of legal systems for clients but also provides valuable assistance to lawyers by automating tasks such as legal research, case analysis, and document review, thus reducing the grind in legal work. This becomes increasingly important in areas like consumer protection law, where the sheer scale of case volume and evolving rules could even daunt the most diligent and intelligent minds.

    The collaboration between AI and consumer laws may significantly contribute to a cost-efficient, streamlined, and user-friendly legal environment. Machine learning algorithms are deployed to predict case outcomes, enabling lawyers to deliver more strategic counsel to clients. The consequent reduction in laborious manual work drives down costs, thus rendering legal services more affordable and more widely accessible.

    It is largely evident that the introduction of AI in consumer law implies substantial benefits to consumers, particularly vulnerable ones, by providing a formidable force in their favor against companies that might take advantage of their deficient knowledge or resources. This innovation undoubtedly upturns the current scenario, opening doors to a larger consumer population for access to fair and proficient legal representation.

    The aim is to unlock justice from its conventional confinement within law libraries and courtrooms and actualize it as a discernible, accessible, and realistic concept. However, the understanding of technology's limits remains fundamental, ensuring that human discernment, supervision, and empathy take precedence. Legal technology is not just about efficiency; it is about improving the essence of justice.

    The bond between AI and Consumer Protection Law is indeed robust and highly influential with a huge potential to revolutionize access to justice. The pride rests not merely on embracing the future, but on creating it, innovating legal solutions in this critically significant area.
  • A one trick pony industry?

    Legal technology is booming. Every month, a new startup claims to have developed the next groundbreaking tool for law firms and legal departments. These products often come with sleek designs, AI-powered insights (they say!), and promises to revolutionize the practice of law. But when you take a closer look, many of them turn out to be what I call “one trick ponies”—tools that solve a very specific problem, sometimes one you didn’t even know you had, and in a way that feels over-engineered. This raises an important question: are these solutions solving problems worth solving?

    Let’s take a look at chatbots for legal firms — one of the more popular legal tech solutions. The idea is to automate client intake and FAQs, helping smaller firms manage client communications without needing an admin team. But are these bots truly innovative, or are they just adding a layer of technology to tasks that could be managed differently, perhaps with better client education or a simpler, more interactive website design? The problem chatbots address—client intake—may not even be the core issue for many firms. Instead, it’s a symptom of a larger, systemic problem: lack of client empowerment and transparency.

    Similarly, consider contract management platforms. These tools promise to track contract changes, store versions, and alert you to critical dates. On the surface, they solve logistical issues. But is the real challenge the need to manage contracts better, or rather that the way we draft, negotiate, and execute contracts is inherently cumbersome and ripe for a more fundamental overhaul? By focusing on organizing contracts rather than reimagining how contracts are structured and understood, these solutions miss the opportunity to truly innovate.

    This pattern repeats across much of legal tech. Another example is legal research tools that promise faster access to case law or legislative changes. While they may make the search for information quicker, they still operate within the constraints of a centuries-old legal framework. Is the real innovation to be found in speeding up research, or should we be questioning why the legal system still relies so heavily on such processes when there are opportunities to make information more accessible, standardized, or even simplified for broader use?

    What many legal tech solutions (I think) fail to do is question the underlying premise: they assume the existing legal process is sound and that all we need is an app or a tool to make it faster or more efficient. This is a reactive approach—patching symptoms instead of addressing the root causes. It’s like continually refining the tools we use to dig ditches instead of asking if we need to dig that ditch at all.

    To move beyond this one-trick-pony approach, the legal tech industry should focus on fundamental issues within the legal system. A fundamental issue could be the way law firms bill clients. Many clients dislike the billable hour, and firms struggle with efficiency. Rather than finding ways to better track and record hours, legal tech should focus on value-based pricing models or subscription services that align the interests of clients and firms. A comprehensive platform for dynamic pricing or outcome-based billing might truly innovate, rather than simply repackage the problem in a more palatable way.

    Another fundamental issue is access to justice. Many legal tech solutions claim to democratize legal services, but few really make a dent in this area. Tools like online contract generators or template libraries are useful, but they don’t bridge the gap for those who need comprehensive, affordable legal advice but cannot access it. A solution that connects underrepresented communities with lawyers through government or non-profit partnerships, leveraging technology for outreach and education, would address the core problem: unequal access.

    The key is for developers to ask the right questions. Rather than focusing on how to optimize existing processes, they should ask whether these processes are necessary at all or if there is a better way to achieve the intended outcome. For instance, if clients struggle with understanding complex legal terminology, the solution may not be to build a tool that translates legalese but to reframe how we communicate law itself. Perhaps what’s needed is a fundamental shift towards plain-language contracts that technology can help generate.

    Of course, addressing fundamental issues is more challenging than building solutions for surface-level problems. It requires a deeper understanding of the legal system, empathy for the users of the technology (lawyers, clients, and the public), and a willingness to challenge the status quo. It also demands an interdisciplinary approach, integrating legal expertise with technology, behavioral science, and user experience design.

    The ultimate question is one of purpose and ethics. As legal professionals and developers, we have a responsibility not just to create efficient tools but to uphold the integrity and accessibility of the legal system. Legal tech should aim to elevate justice, transparency, and fairness, rather than merely automate or streamline existing processes. If we focus solely on efficiency, we risk losing sight of the law’s true purpose—to serve and protect society. In a profession where ethics guide every decision, our approach to technology should be no different. It’s not just about what can be automated but about what should be transformed, ensuring that the pursuit of innovation aligns with the core values of the legal profession.

  • Silicon Scales: Balancing Justice and Java in the Splashdown of AI-Legal Fusion

    Splashdown! What a wave was created by the latest success we’ve chalked up, reminding us, once again, of the incredible capability of technology to transform the practice of law. This wasn’t a victory in court alone, but a glimpse at how tech is truly an equalizer, expanding the boundaries of legal services.

    Artificial Intelligence (AI) isn’t a stranger to the world of law anymore, having its influence felt in everything from routine paperwork to labyrinthine legal decisions. It’s a game-changer, shaping the way we process, dispense, and even conceive law. Legal help, once an inaccessible fortress for many, is evolving—and learning to even the scales.

    What we’ve built here is a vessel that carries AI’s problem-solving power straight to the field of law, working tirelessly to make legal processes more straightforward. Our AI tools, conflicts of interest and paperwork, had lawyers shoulder fewer burdens and ordinary folks interface with the law with newfound clarity.

    We don’t reach out to the end users directly. Instead, our AI tools seep into their lives through the legal entities we serve, dissolving barriers along their journey. Look no further than the recent victory – what came together was a beautiful union of our AI technology and the law, resulting in justice served.

    We etch the principles of justice in the languages of Python and Java. As we inch forward towards a faster, more efficient legal process, our purpose is amplified: to democratize legal discourse and access.

    And as we celebrate this success, we are also reminded that it’s not the resting point but a milestone on this longer, gratifying journey. The future of law technology promises is boundless, and we are all venturing into it, unearthing fascinating potentialities every single day!

    Behind the celebratory headlines and toasts, there’s the humdrum beat of our daily grind: long coding sessions, strategizing, pushing against the tide. These victories are a testament to our collective effort to make justice accessible to everyone, reflecting our unwavering commitment.

    Enjoying the view post this success, it strikes us just how pivotal AI has become in reconstructing the legal landscape. As we push forward, we are inching closer to a future where law and technology align seamlessly to democratize legal service. So, hang tight as we continue to embark on this journey, one usurping giant leap at a time, transforming ‘just’ from an aspiration to an accessible reality.

  • Triumph in the Courtroom: How Quality Data Shapes Legal AI and Wins Cases!

    Today marks a milestone in the pursuit of justice. Winning a significant consumer rights case has highlighted the power of combining masterful legal knowledge with unwavering dedication. This win, however, is as much a testament to our ceaseless fight for rights, as it is to the journey we’ve taken in refining our approach.

    What’s at the heart of it all? Data. Good, quality data. Not just any data, but clear, accurate, meticulously collected, and analysed data. We’re talking about training data – the building blocks of AI.

    Artificial Intelligence, just like a diligent legal intern, learns from what’s at its disposal. It picks up on patterns, learns to discern the significant from the trivial and in the process, turns into an indispensable tool that can impact real-world decisions. And like any legal intern, its worth depends on its teachers, or rather, its training data.

    The term ‘garbage in, garbage out’ rings particularly true here. Feed an AI poor-quality training data and you basically take an enthusiastic law student and hand them an outdated law book. It confuses more than it clarifies, misguides instead of illuminating the way.

    On the other hand, high-quality training data works wonders. It lets an AI wade through piles of legal case outcomes, and helps it understand the vast array of variables that comes with real-world situations. This way, it becomes capable of making informed proposals. Think of it as having an additional legal advisor that’s unbiased, tireless and thorough.

    Quality-controlled, anonymised data is what we feed our algorithms. This does more than just aid the comprehension of legal lingo; it enables the software to identify trends, potential issues, and even strategise. As a result, we’re not only equipped to navigate complex legal terrain with a clearer sight, but also do it in a way that ensures complete privacy and data protection for our clients.

    The result? Today’s win. A triumph in not just in delivering justice, but also in driving home the immense value of high-quality training data in shaping legal tech.

    But, this is just the start. High-quality training data has far reaching applications for the evolution of technology within the legal sphere. It can foster more efficient practices, accentuate the pursuit of justice, and most importantly, make legal aid more accessible to all. And isn’t that something worth aiming for?

    In essence, today’s victory hasn’t just been a win in the courtrooms. It’s also been a validation of our faith in the power of high-quality training data in shaping Legal Tech AI. As we continue to grow and adapt to the changing landscape of law, one thing remains clear: the future of legal practice hinges on quality, be it the quality of our fight, the data we use or the technology we leverage.

  • From Legal Puzzles to Python: A Tongue-in-Cheek Look at Revolutionizing Justice with Java

    It’s safe to say that getting through the labyrinth of legal processes can be an intimidating challenge, often holding back an average individual from seeking justice. However, technology, in its silent and powerful magnitude, holds the key to potentially transforming and making legal services more accessible in a revolutionary way. And that, eventually, formed the foundation of my mission at the organization. A personal interaction in a public courtroom, where I saw outdated technology directly interfering with the smooth operation of justice delivery, drove me to answer the question – why not?

    In a world where technology has intertwined with our lives in more ways than one, it’s almost baffling to see how courtrooms, the very places that can draw substantial benefits from tech advancements, are still stuck in a time warp. Lawyers and litigants often end up navigating through a convoluted and outdated system, affecting the pace and efficiency of justice delivery. This led to the eureka moment – why not harness my dual skills as a legal expert and a programmer to address this challenge directly? Isn’t it high time we leveraged technology, particularly AI, to make legal systems more friendly, efficient, and equitable?

    With this intention at its core, our organization ventured to introduce AI in consumer rights protection. From drafting legal documents to processing judicial decisions, our focus is on developing digital tools that enhance efficiency for legal professionals and make the law more accessible for citizens. Leveraging AI-enabled technology, primarily using Python and Java, we are earnestly striving to reduce the soaring complexity and cost of legal services. By eliminating costly manual labor from routine tasks, we aim to facilitate individuals to exercise their legal rights without bearing unreasonable expenses.

    It’s vital to understand, however, that we aren’t seeking to replace legal professionals with machines. The goal is to furnish the legal domain with powerful, efficient tools and develop easily accessible applications for the public, enabling them to traverse successfully through the tough maze of the legal framework. Indeed, easy access to law along with procedural fairness are fundamental to a well-functioning society and are intrinsically linked to human rights.

    While we believe we play an indispensable role, we also acknowledge that our technology alone cannot drive this transition. The LegalTech industry needs to consistently engage in dialogue with policy makers so that legislations in place can keep pace with tech advancements. Moreover, the public’s willingness to accept and trust such new technology, along with their effort to master its usage, forms a crucial part of the larger picture.

    Driven by inspriation from my personal heroes – Prosecutor Fritz Bauer, known for hunting Nazis and Rolf Bender, a vanguard in consumer rights – our organization seeks to chart a new path in legal tech. We are enthusiastic about delivering strong solutions that promise unprecedented accessibility and efficiency in legal processes, primarily driven by our desire to create a fair world. As we stay firmly committed to our journey of creating a legal revolution powered by technology, it’s exciting to see what the future holds. Remember, we have just started!

  • AI and Law: Legal Jargon Decoded, and Lawyers Replaced – Just Kidding!

    The fusion of law and technology is paving the way for a transformative paradigm, where customary legal procedures give room to intelligent and efficient systems. Remarkably, Artificial Intelligence (AI) is turning the tide, radically altering how we perceive and access jurisprudence.

    AI is addressing a perennial concern in law – ease of access. Legal services traditionally suffered due to their unavailability to the majority, owing to steep expenses, complex methodologies, and bureaucratic intricacies. With the arrival of AI, there’s an enhanced ease of access to law for non-specialists, dismantling barriers such as linguistic and financial hurdles, and demystifying legal procedures.

    Collaborating the capabilities of AI and our legal proficiency, we’ve devised a dynamic framework that democratises legal processes. Our aim is not just to increase productivity of our legal counterparts, but to provide anyone feeling overwhelmed or left out by the complex legalities, a clear understanding.

    Our firm utilises AI for various legal requirements, from handling legal data, predictive analysis of case outcomes, to automation of basic tasks. We even facilitate people to comprehend legal nuances. Our programming languages primarily include Python and Java, which enables legal practitioners as well as users.

    Despite the transformation ushered in by AI, it indeed raises questions. We’re required to tackle challenges and ethical aspects like AI bias, data privacy, and transparency. The issues are significant, as AI, trained to learn from past inputs, might also reflect the discrimination inherent in past legal cases upon which it was trained. Our task is to stay alert and active to ensure that the pros of integrating AI and law outweigh the potential drawbacks.

    Finally, the marriage of AI and law carries enormous potential towards an egalitarian society where the law is a basic right and not a privilege. As we develop and apply AI technologies, we’re committed to delivering clear, efficient legal services to everyone. We engage ourselves in this effort, foreseeing a promising future where the law serves as a guiding star rather than an intimidating maze to the masses.

  • AI: The Legal Game Changer Tackling Affordability, Accessibility, and Archaic Jargon

    Artificial Intelligence (AI) has truly become a game-changing technology across industries, right from healthcare to transportation. Now imagine AI transforming the legal sector, particularly by tackling down affordability and accessibility – two major roadblocks infesting legal services for a long time now.

    Historically, you’d find legal help was restricted to those who could afford hefty attorney fees or those who lived close to courts. This sadly resulted in an alarming distribution inequality of legal resources, thereby widening the gap of accessibility. Who suffered the most due to this gap? Certainly those who spoke different languages and belonged to varied cultural backgrounds, for whom navigating through complex legal jargon was no less than a labyrinth.

    My personal experience of facing discrimination during a court hearing illuminated the severity of the issue. It wasn’t just an inactive observer’s account of a courtroom incident; it stoked a fire, gather up our tools, roll up our sleeves, and work towards real change.

    AI provides us an opportunity to amplify the accessibility of legal services, and not just streamline tasks for the legal professionals. The AI’s capacity to perform routine legal tasks quickly and accurately already has a lot of appreciation. What’s truly remarkable, however, is its ability to translate convoluted legal language into easily understandable, day-to-day speech. This unique feature seamlessly bridges the communication gap, reducing possible instances of unintentional bias and discrimination that can occur due to cultural and language barriers.

    AI within legal tech isn’t restricted to just one tool. It’s an array of a plethora of tools, from chatbots guiding through legal processes, contract analysis software scanning thousands of agreements in a blink, to predictive algorithms forecasting case outcomes. All these greatly help law firms to evolve from traditional methodologies, meet consumer needs more efficiently, and cover a wider segment of society.

    Currently, our focus is solely based on leveraging AI to make law more accessible for everyone. Every developer should remember, though – AI is a tool, our means to achieve an end, not the end goal itself. Yes, there are speed bumps on the way, like data privacy concerns and algorithm bias. But these aren’t invincible. By staying committed to learn and improve constantly, we aim to achieve legal justice, devoid of discrimination, through AI and innovation.

    The future of AI in the legal domain seems enormous. Its successful deployment could transform the domain entirely by enhancing efficiency, bringing down legal costs, and making legal help more inclusive. By deploying AI in the legal field, we are dedicated to bridging the accessibility gap, confirming everyone has their fair share to the legal justice pie, unconcerned by their race, religion, or socioeconomic condition.

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