Legal law question issue research online AI LLM all states 24-7 information retrieval
AI-Assisted Retrieval of Info from LLMs
Frequently Asked Questions
For Attorneys: Nextlaw.pro provides Attorneys with structured legal resources that retrieve information from large language models.
For attorneys, Nextlaw.pro provides a structured, proprietary AI assisted information retrieval service that frames, structures, and engineers the queries to better assist attorneys to retrieve information from large language models.
For Individuals and Self Help: NextLaw.pro retrieves information from large language models to provide “self-help” to individuals
For individuals, NextLaw.pro provides a different self-help service. The self-help service uses AI in a different proprietary manner to assist the retrieval of information from large language models to assist the individual to help themselves.
What do you offer that is more than just entering terms in ChatGPT or Bard?
AI, LLMs, and ChatGPT are excellent ground-breaking tools. Yet they often produce generic responses.
NextLaw.pro’s structured penetrating techniques produce superior results. Since meaningful information is precious, NextLaw.pro uses proprietary techniques that pull more specific, meaningful, and insightful material from one or more large language models (LLM) including OpenAI, ChatGPT, Bard, LLama2, and ChatGPT .
Using well-tested, evolving proprietary techniques, NextLaw.pro can use AI to extract more interesting and useful information out of the LLM to include in its memos.
Why do you charge so little?
We are trying to build up a satisfied user base and grow while generating enough revenue to get funding to grow and improve our proprietary methods.
Errors, Lies, Etceteras. Why are there errors, inventions, inaccuracies, and false statement in the material?
This is ChatGPT responses (in July 2023):
ChatGPT, like other AI language models, does not have access to real-time information or the ability to independently verify data. It was trained on a diverse range of internet text up to September 2021, and it generates responses based on patterns it learned during training, rather than accessing or understanding factual information.
In the process of generating responses, it sometimes makes errors, such as misunderstanding the context, misremembering details, or making implausible statements. It can also occasionally generate information that seems factual but is invented or inaccurate. The goal of its design is to be helpful and engaging, but since it doesn’t “know” information in the way humans do, it can sometimes provide incorrect or misleading responses.
Why am I responsible for researching the information to see if it is true?
For accurate, up-to-date information, especially on important matters like legal or medical issues, it’s always best to consult with a professional or a trusted source.
Can I pay you to assure that it is correct?
Not at this time. Checking the accuracy of the information provided, validating the information, and determining whether it is accurate is the user’s sole and exclusive responsibility. We disclaim any responsibility. At this time, it not within the capabilities of these AI and LLM systems to be accurate or even identify whether the information is accurate.
Are you hiring?
Sometimes. Please check on LinkedIn.
Who Founded NextLaw.pro?
John Jensen.
What Features Are You Developing?
Coming Soon
1. Gather Data and Organize
Secure On-Line Collection, Update, and Collaboration on Data and Evidence
NextLaw.pro is in the process of developing an online database functionality that provides secure support for attorneys, experts and clients to share, organize, and analyze relevant documents, evidence, and information with selected individuals.
For example, NextLaw.pro intends to provide an electronic portal for gathering and organizing records include contracts, medical records, police reports, correspondence, and any other relevant materials to help individuals, professionals, attorneys, clients, and support personnel stay organized and better interact .
The on-line database will also protect attorney client privileged information, attorney work product, and consulting expert work product from being inadvertently disclosed.
Organize the information systematically for easy reference and analysis.
With the assistance of AI and LLM, the incipient NextLaw.pro on-line database also can search for additional data and automatically update the data.
2. NextLaw.pro Is Developing Functionality to Analyze Parties:
NextLaw.Pro Plan Functionality to Assist You In Analyzing Parties, Witnesses, Judges
- Analyze and Evaluate the parties involved in the case, including your client, the opposing party, and any potential third parties. Understand their roles, interests, strengths, weaknesses, and legal positions. This analysis helps develop effective negotiation or litigation strategies.
An Enormous Amount of Information is Available
When it comes to investigating a person, there is a wide range of information that may be available from various sources. It’s important to note that the availability and legality of accessing certain types of information may vary depending on the jurisdiction and applicable privacy laws.
Here are some examples of the types of information that can be potentially available:
- Personal Information:
- Name, date of birth, address, phone number, email address, and social media profiles may be publicly available or obtainable through online directories, social media platforms, or public records.
- Employment and Education History:
- Information about a person’s work experience, job titles, employers, educational institutions, degrees obtained, and professional certifications may be available on LinkedIn, professional networking sites, or company websites.
- Financial Information:
- Detailed financial information is generally considered private and protected, but certain financial data may be available through public records or commercial databases for authorized purposes. Examples include bankruptcy filings, property ownership records, or regulatory filings for businesses.
- Criminal Records:
- Information about prior convictions, arrests, or criminal charges may be accessible through publicly available court records, online criminal databases, or law enforcement agencies, depending on the jurisdiction’s laws regarding public access to criminal records.
- Online Presence and Social Media:
- Information shared by individuals on social media platforms like Facebook, Instagram, Twitter, or LinkedIn can provide insights into personal interests, activities, connections, and affiliations. However, it’s important to note that privacy settings and individual choices can affect the visibility and accessibility of this information.
- Internet Search Data:
- Search engines may collect data about a person’s search history, although this information is typically kept private and secure. Generally, search engine companies prioritize user privacy and adhere to strict data protection policies.
- Health Data:
- Health-related information is subject to strict privacy regulations, such as the Health Insurance Portability and Accountability Act (HIPAA) in the United States. Access to personal health records or medical information is generally restricted to authorized healthcare professionals and entities.
- Political Donations and Voting Records:
- Public campaign finance databases may contain information about political donations made by individuals, including the names of recipients and the amounts contributed. Voting records may be available through public records or electoral authorities, depending on the jurisdiction.
- Online Advertising Exchanges and Data Aggregators:
- Data aggregators collect and aggregate information from various sources, including public records, social media, and online transactions. This information may include demographic data, purchasing behavior, and online activity. Ad exchanges may use this aggregated data to target ads to specific audiences.
It’s important to mention that accessing certain categories of personal information, especially sensitive information, may be subject to legal restrictions and require proper authorization or consent. Legal and ethical considerations should always be observed when conducting investigations or gathering personal information.
Specifying and Choosing What Information Could Be Relevant
NextLaw.Pro plans to use artificial intelligence, database information machine learning, and data analysis to collect, analysis, and evaluate information about the client, the opposing party, and any potential third parties.
NextLaw.Pro plans to use available information to analyze parties, evaluate witnesses, consider the politics of judges or mediators, and understand their roles, interests, strengths, weaknesses, and legal positions.
NextLaw.Pro plans to use artificial intelligence, database information machine learning, and data analysis to help provide a deep knowledge and understanding of a person as a party, witness, attorney, judge or third party.
How AI Helps Evaluate People As Parties, Witnesses, Judge, Mediators, Etc
Artificial intelligence (AI), machine learning, and data analysis can be valuable tools for attorneys in analyzing the parties involved in a case, including clients, opposing parties, witnesses, judges, and third parties. Here’s how AI can assist in evaluating parties and gathering relevant information:
- Personal and Financial Information:
- AI can help gather personal and financial information through various sources. (See above) This may include public records, social media profiles, corporate filings, financial statements, or credit reports. AI algorithms can efficiently process and analyze these data sources to identify relevant details about the parties involved.
- Online Information and Reputation:
- AI can analyze online information, including social media posts, news articles, blogs, and reviews, to gain insights into a party’s reputation, interests, or affiliations. Sentiment analysis can help gauge public perception and sentiment towards a party, providing additional context for the analysis.
- Investigative Data:
- AI can assist in gathering investigative data, such as background checks, criminal records, or prior litigation history. AI algorithms can swiftly search and analyze databases, public records, and court filings to uncover relevant information that may impact a party’s credibility or legal position.
- Court and Legal Databases:
- AI can leverage legal databases and case law repositories to identify previous legal cases involving the parties, judges, or attorneys. By analyzing these cases, AI can provide insights into legal strategies, strengths, weaknesses, or tendencies of the parties involved, helping attorneys develop effective legal strategies. By analyzing these cases, AI can provide insights into the sentiment, bias, afiliation, preferences and politics of judges, mediators, prosecutors, and court staff.
- Natural Language Processing (NLP):
- AI-powered NLP algorithms can extract key information from legal documents, contracts, pleadings, and court transcripts. This enables attorneys to quickly analyze and understand the roles, interests, positions, and legal arguments of the parties involved.
- Organization of Information:
- AI can assist in organizing and structuring the gathered information for easy reference and analysis. By using data organization and visualization techniques, AI can create summaries, timelines, or relationship maps that provide a comprehensive overview of the parties’ roles, interests, and legal positions.
- Predictive Analytics:
- AI can employ predictive analytics to identify patterns or correlations within the gathered data. By analyzing historical data, AI can help predict the likely behavior, tendencies, or outcomes associated with specific parties, witnesses, judges, or attorneys. This aids in assessing the strengths and weaknesses of the parties involved and informing legal strategies.
- Knowledge Graphs:
- AI can construct knowledge graphs by extracting structured information from various sources and creating interconnected representations of individuals, organizations, relationships, and legal concepts. Knowledge graphs help attorneys navigate complex networks of information and gain a deeper understanding of the parties’ backgrounds, roles, and connections.
The benefits of using AI in analyzing parties include:
- Efficiency: AI algorithms can swiftly analyze vast amounts of data and provide relevant insights, saving attorneys significant time and effort in gathering and reviewing information.
- Comprehensive Analysis: AI’s ability to process diverse data sources allows for a more comprehensive analysis of parties, witnesses, judges, or attorneys. It helps identify key information, relationships, and patterns that may not be readily apparent through manual analysis alone.
- Objective Insights: AI can provide objective insights based on data analysis, mitigating potential biases and enhancing the accuracy of evaluating parties’ strengths, weaknesses, or legal positions.
- Enhanced Decision-Making: AI-generated insights can help attorneys make informed decisions about legal strategies, negotiation tactics, witness selection, or case assessment, leading to more effective representation.
It’s important to note that while AI can provide valuable information and insights, legal professionals and others must always comply with ethical and legal obligations regarding the collection, use, and storage of personal or sensitive information. Privacy and confidentiality should be respected throughout the analysis process.
3. NextLaw.pro Is Developing Functionality to Analyze Harms
NextLaw.Pro Functionality to Estimate a Value Range of Harm from Economic Damage, Lost Profits, Lost Wages, Physical Injuries, and Other Harm
- Assess the harm caused, whether it’s physical, financial, emotional, or reputational. Understanding the extent of the damages helps determine the potential value of the matter and the appropriate legal remedies to seek.
As a baseline tool for estimating the cost/value of harm inflicted, NextLaw.Pro is developing a sophisticated AI-based estimation model based on empirical data from a database of historical expenses, costs, and compensation for similar events in the past.
These estimates can be automatically or manually adjusted to better reflect current variables.
As the estimates are intended to be based on historical empirical data, NextLaw.pro believes that the estimates will be credible and persuasive.
If a user wishes to disclose the estimates and their underlying data, NextLaw.pro believes that the data will also offer standards on which the parties can accept or distinguish.
How NextLaw.pro plans to Use AI to Analyze Harm
When it comes to analyzing harms and assessing the damages caused to a client, artificial intelligence (AI), machine learning, and data analysis can be utilized in:
- Data Collection and Analysis: AI can help gather and analyze large volumes of data related to the case. This can include medical records, financial statements, social media posts, news articles, or public records. AI algorithms can extract relevant information, identify patterns, and provide a comprehensive overview of the damages suffered.
- Quantitative Analysis: AI algorithms can process financial data, such as income statements, tax records, or business valuation reports, to estimate the financial harm or losses suffered by the client. By applying advanced analytics techniques, AI can calculate the monetary value of damages more accurately and efficiently than manual methods.
- Sentiment Analysis: AI can analyze text data from sources like social media, online reviews, or customer feedback to gauge the emotional impact or reputational harm suffered by the client. Sentiment analysis algorithms can identify and quantify the negative sentiment expressed, helping attorneys understand the extent of emotional distress or reputational damage.
- Benchmarking and Comparative Analysis: AI can leverage databases and historical case data to compare similar cases and their outcomes. By identifying precedents or similar situations, AI can provide insights into the potential value or cost of harms suffered . This helps determine appropriate compensation or damages to seek in settlement negotiations or court proceedings.
- Risk Assessment: AI algorithms can analyze various factors and data points to assess the likelihood of success in pursuing legal remedies and the potential value of damages. By considering factors such as jurisdiction, judge precedents, opposing party’s position, or legal arguments used in similar cases, AI can provide risk assessments and guide attorneys in formulating a winning strategy.
- Efficient Document Review: AI-powered document review platforms can analyze large volumes of documents in a fraction of the time it would take for human review. By using natural language processing and machine learning techniques, these platforms can extract relevant information, identify key evidence, and accelerate the discovery process, ultimately aiding in the analysis of harms.
- Predictive Analytics: AI models can be trained on historical case data to predict the potential outcomes of a specific case or estimate the value of damages. By considering various factors and their correlations, these predictive models can provide attorneys with valuable insights and help them make informed decisions regarding legal strategies, settlement negotiations, or risk assessments.
The benefits of using AI in analyzing harms include:
- Efficiency: AI algorithms can process and analyze vast amounts of data quickly and accurately, saving attorneys significant time and effort in assessing damages.
- Accuracy: By leveraging advanced data analysis techniques, AI can provide more precise and objective assessments of damages, reducing potential human bias or errors.
- Insights and Patterns: AI can identify hidden patterns, correlations, or precedents in the data that may not be apparent through traditional analysis methods. This can provide valuable insights and strengthen the attorney’s arguments or negotiation positions.
- Cost-Effectiveness: AI tools can offer cost-effective solutions for analyzing harms by automating repetitive tasks, reducing the need for manual document review, and streamlining the overall analysis process.
While AI can assist attorneys in analyzing harms, it’s important to note that human expertise and judgment are still crucial in interpreting the results, applying legal reasoning, and making strategic decisions. AI should be seen as a complementary tool that enhances an attorney’s capabilities rather than a substitute for their professional judgment and experience.
NextLaw.pro Is Developing Additional Functionality
[ultimatemember form_id=”867″]
Legal law question issue research online AI LLM all states 24-7 information retrieval