Tag: large language models

The Economic Benefits of AI in Civil Defense Litigation

The integration of artificial intelligence (AI) into various industries has revolutionized the way we approach complex problems, and the field of civil defense litigation is no exception. As lawyers and legal professionals navigate the complex and often cumbersome landscape of civil defense, AI can offer a transformative assistance that not only enhances efficiency but also significantly reduces client costs. In this blog, we’ll explore the economic savings associated with employing AI in civil defense litigation.

Streamlining Document Review
One of the most labor-intensive and costly aspects of civil defense litigation is the review of vast amounts of discovery documents. Traditionally, lawyers and legal teams spend countless hours sifting through documents to identify and categorize relevant information, a process that is both time-consuming and costly. AI-powered tools, such as Large Language Models (LLM) can automate and expedite this process.

By using AI to assist in closed system document review, law firms can drastically cut down on the number of billable hours required for this task. AI assistance can quickly and accurately identify relevant documents, flagging pertinent information and reducing the risk of material oversight. This not only speeds up the review process and allows a legal team to concentrate on analysis rather than document digest and chronology, but significantly lowers the overall cost of litigation to the client.

By way of example – a case in which 50,000 medical treatment record and bills must be analyzed, put in chronology and reviewed for patient complaints, diagnosis, treatment, medial history and prescription medicine use, could literally take a legal team weeks to complete. With AI assistance the preliminary ground work such as document organization, chronologizing complaints and treatments and compiling prescription drug lists can be completed in a matter of minutes, allowing the lawyer to spend her time in verification, analysis and defense development and strategy, rather than information translation and time consuming data organization.

Enhanced Legal Research
Legal research is another growing area where AI can yield substantial economic benefits. Traditional legal research methods involve lawyers poring over case law, statutes, and legal precedents to find those cases that best fit the facts and legal issues at hand. This process can be incredibly time-intensive, driving up costs for clients. Closed AI-powered legal research platforms can rapidly analyze vast databases of verified legal precedent and information, providing attorneys with precise and relevant case law in a fraction of the time. Rather than conducting time consuming exhaustive searches for the right cases to analysis, a lawyer can now stream line the process with AI assistance by flagging on-point cases for verification, review, analysis and argument development.

The efficiency of AI-driven legal research can translate into significant cost savings for the client. Attorneys can now spend more time on argument development and drafting, rather than bogged down in manual research. For clients, this means lower legal fees and faster resolution of cases, both of which contribute to overall economic savings.

Predictive Analytics and Case Strategy
AI’s evolving ability to analyze legal historical data and identify patterns is particularly valuable in the realm of predictive analytics. In civil defense litigation, AI can be used to assist in predicting the likely outcomes of cases based on jurisdictionally specific verdicts and settlements, helping attorneys to formulate more effective strategies. By sharpening focus on probable outcomes, legal teams can make informed decisions about whether to settle a case or proceed to trial. Such predictive analytics allow clients to better manage their risk, thereby reducing the financial burden on defendants.

Automating Routine Tasks
Many routine tasks in civil defense litigation, such as preparation of document and pleading chronologies, scheduling, and case management, can now be automated using AI. Such automation reduces the need for manual intervention, allowing legal professionals to focus on more complex and value-added case tasks. By automating such routine tasks, law firms can operate more efficiently, reducing overhead costs and improving their bottom line. Clients benefit from quicker turnaround times and lower legal fees, resulting in overall economic savings.

Conclusion
The economic savings for clients associated with using AI in civil defense litigation can be substantial. From streamlining document review and enhancing legal research to automating routine tasks and reducing discovery costs, AI offers a powerful tool for improving efficiency and lowering case costs. As the legal industry continues to embrace technological advancements, the adoption of AI in civil defense litigation is poised to become a standard practice, benefiting both law firms and their clients economically. The future of civil defense litigation is undoubtedly intertwined with AI, promising a more cost-effective and efficient approach to resolving legal disputes.

© 2024 McGivney, Kluger, Clark & Intoccia. ALL RIGHTS RESERVED.
For more on Artificial Intelligence, visit the NLR Communications Media Internet section

A Lawyer’s Guide to Understanding AI Hallucinations in a Closed System

Understanding Artificial Intelligence (AI) and the possibility of hallucinations in a closed system is necessary for the use of any such technology by a lawyer. AI has made significant strides in recent years, demonstrating remarkable capabilities in various fields, from natural language processing to large language models to generative AI. Despite these advancements, AI systems can sometimes produce outputs that are unexpectedly inaccurate or even nonsensical – a phenomenon often referred to as “hallucinations.” Understanding why these hallucinations occur, especially in a closed systems, is crucial for improving AI reliability in the practice of law.

What are AI Hallucinations
AI hallucinations are instances where AI systems generate information that seems plausible but is incorrect or entirely fabricated. These hallucinations can manifest in various forms, such as incorrect responses to prompt, fabricated case details, false medical analysis or even imagined elements in an image.

The Nature of Closed Systems
A closed system in AI refers to a context where the AI operates with a fixed dataset and pre-defined parameters, without real-time interaction or external updates. In the area of legal practice this can include environments or legal AI tools which rely upon a selected universe of information from which to access such information as a case file database, saved case specific medical records, discovery responses, deposition transcripts and pleadings.

Causes of AI Hallucinations in Closed Systems
Closed systems, as opposed to open facing AI which can access the internet, rely entirely on the data they were trained on. If the data is incomplete, biased, or not representative of the real world the AI may fill gaps in its knowledge with incorrect information. This is particularly problematic when the AI encounters scenarios not-well presented in its training data. Similarly, if an AI tool is used incorrectly by way of misused data prompts, a closed system could result in incorrect or nonsensical outputs.

Overfitting
Overfitting occurs when the AI model learns the noise and peculiarities in the training data rather than the underlying patterns. In a closed system, where the training data can be limited and static, the model might generate outputs based on these peculiarities, leading to hallucinations when faced with new or slightly different inputs.

Extrapolation Error
AI models can generalize from their training data to handle new inputs. In a closed system, the lack of continuous learning and updated data may cause the model to make inaccurate extrapolations. For example, a language model might generate plausible sounding but factually incorrect information based upon incomplete context.

Implication of Hallucination for lawyers
For lawyers, AI hallucinations can have serious implications. Relying on AI- generated content without verification could possibly lead to the dissemination or reliance upon false information, which can grievously effect both a client and the lawyer. Lawyers have a duty to provide accurate and reliable advise, information and court filings. Using AI tools that can possibly produce hallucinations without proper checks could very well breach a lawyer’s ethical duty to her client and such errors could damage a lawyer’s reputation or standing. A lawyer must stay vigilant in her practice to safe guard against hallucinations. A lawyer should always verify any AI generated information against reliable sources and treat AI as an assistant, not a replacement. Attorney oversight of outputs especially in critical areas such as legal research, document drafting and case analysis is an ethical requirement.

Notably, the lawyer’s chose of AI tool is critical. A well vetted closed system allows for the tracing of the origin of output and a lawyer to maintain control over the source materials. In the instance of prompt-based data searches, with multiple task prompts, a comprehensive understanding of how the prompts were designed to be used and the proper use of same is also essential to avoid hallucinations in a closed system. Improper use of the AI tool, even in a closed system designed for legal use, can lead to illogical outputs or hallucinations. A lawyer who wishes to utilize AI tools should stay informed about AI developments and understand the limitations and capabilities of the tools used. Regular training and updates can provide a more effective use of AI tools and help to safeguard against hallucinations.

Take Away
AI hallucinations present a unique challenge for the legal profession, but with careful tool vetting, management and training a lawyer can safeguard against false outputs. By understanding the nature of hallucinations and their origins, implementing robust verification processes and maintaining human oversight, lawyers can harness the power of AI while upholding their commitment to accuracy and ethical practice.

© 2024 McGivney, Kluger, Clark & Intoccia. ALL RIGHTS RESERVED.
For more on Artificial Intelligence, visit the NLR Communications Media Internet section.