Close Menu
  • Home
  • AI Models
    • DeepSeek
    • xAI
    • OpenAI
    • Meta AI Llama
    • Google DeepMind
    • Amazon AWS AI
    • Microsoft AI
    • Anthropic (Claude)
    • NVIDIA AI
    • IBM WatsonX Granite 3.1
    • Adobe Sensi
    • Hugging Face
    • Alibaba Cloud (Qwen)
    • Baidu (ERNIE)
    • C3 AI
    • DataRobot
    • Mistral AI
    • Moonshot AI (Kimi)
    • Google Gemma
    • xAI
    • Stability AI
    • H20.ai
  • AI Research
    • Allen Institue for AI
    • arXiv AI
    • Berkeley AI Research
    • CMU AI
    • Google Research
    • Microsoft Research
    • Meta AI Research
    • OpenAI Research
    • Stanford HAI
    • MIT CSAIL
    • Harvard AI
  • AI Funding & Startups
    • AI Funding Database
    • CBInsights AI
    • Crunchbase AI
    • Data Robot Blog
    • TechCrunch AI
    • VentureBeat AI
    • The Information AI
    • Sifted AI
    • WIRED AI
    • Fortune AI
    • PitchBook
    • TechRepublic
    • SiliconANGLE – Big Data
    • MIT News
    • Data Robot Blog
  • Expert Insights & Videos
    • Google DeepMind
    • Lex Fridman
    • Matt Wolfe AI
    • Yannic Kilcher
    • Two Minute Papers
    • AI Explained
    • TheAIEdge
    • Matt Wolfe AI
    • The TechLead
    • Andrew Ng
    • OpenAI
  • Expert Blogs
    • François Chollet
    • Gary Marcus
    • IBM
    • Jack Clark
    • Jeremy Howard
    • Melanie Mitchell
    • Andrew Ng
    • Andrej Karpathy
    • Sebastian Ruder
    • Rachel Thomas
    • IBM
  • AI Policy & Ethics
    • ACLU AI
    • AI Now Institute
    • Center for AI Safety
    • EFF AI
    • European Commission AI
    • Partnership on AI
    • Stanford HAI Policy
    • Mozilla Foundation AI
    • Future of Life Institute
    • Center for AI Safety
    • World Economic Forum AI
  • AI Tools & Product Releases
    • AI Assistants
    • AI for Recruitment
    • AI Search
    • Coding Assistants
    • Customer Service AI
    • Image Generation
    • Video Generation
    • Writing Tools
    • AI for Recruitment
    • Voice/Audio Generation
  • Industry Applications
    • Finance AI
    • Healthcare AI
    • Legal AI
    • Manufacturing AI
    • Media & Entertainment
    • Transportation AI
    • Education AI
    • Retail AI
    • Agriculture AI
    • Energy AI
  • AI Art & Entertainment
    • AI Art News Blog
    • Artvy Blog » AI Art Blog
    • Weird Wonderful AI Art Blog
    • The Chainsaw » AI Art
    • Artvy Blog » AI Art Blog
What's Hot

Tencent Hunyuan Releases and Open Sources Image Model 2.1, Supporting Native 2K High-Quality Images_the_model_This

Task orders and bottlenecks: how the largest US shipbuilder is putting AI to work

Does DINOv3 Set a New Medical Vision Standard? – Takara TLDR

Facebook X (Twitter) Instagram
Advanced AI News
  • Home
  • AI Models
    • OpenAI (GPT-4 / GPT-4o)
    • Anthropic (Claude 3)
    • Google DeepMind (Gemini)
    • Meta (LLaMA)
    • Cohere (Command R)
    • Amazon (Titan)
    • IBM (Watsonx)
    • Inflection AI (Pi)
  • AI Research
    • Allen Institue for AI
    • arXiv AI
    • Berkeley AI Research
    • CMU AI
    • Google Research
    • Meta AI Research
    • Microsoft Research
    • OpenAI Research
    • Stanford HAI
    • MIT CSAIL
    • Harvard AI
  • AI Funding
    • AI Funding Database
    • CBInsights AI
    • Crunchbase AI
    • Data Robot Blog
    • TechCrunch AI
    • VentureBeat AI
    • The Information AI
    • Sifted AI
    • WIRED AI
    • Fortune AI
    • PitchBook
    • TechRepublic
    • SiliconANGLE – Big Data
    • MIT News
    • Data Robot Blog
  • AI Experts
    • Google DeepMind
    • Lex Fridman
    • Meta AI Llama
    • Yannic Kilcher
    • Two Minute Papers
    • AI Explained
    • TheAIEdge
    • The TechLead
    • Matt Wolfe AI
    • Andrew Ng
    • OpenAI
    • Expert Blogs
      • François Chollet
      • Gary Marcus
      • IBM
      • Jack Clark
      • Jeremy Howard
      • Melanie Mitchell
      • Andrew Ng
      • Andrej Karpathy
      • Sebastian Ruder
      • Rachel Thomas
      • IBM
  • AI Tools
    • AI Assistants
    • AI for Recruitment
    • AI Search
    • Coding Assistants
    • Customer Service AI
  • AI Policy
    • ACLU AI
    • AI Now Institute
    • Center for AI Safety
  • Business AI
    • Advanced AI News Features
    • Finance AI
    • Healthcare AI
    • Education AI
    • Energy AI
    • Legal AI
LinkedIn Instagram YouTube Threads X (Twitter)
Advanced AI News
Industry Applications

The Impact of AI on Paralegals – Artificial Lawyer

By Advanced AI EditorJuly 2, 2025No Comments5 Mins Read
Share Facebook Twitter Pinterest Copy Link Telegram LinkedIn Tumblr Email
Share
Facebook Twitter LinkedIn Pinterest Email



Some legal tech experts believe paralegals will face uncertainty in the new AI era. But, Robin Ghurbhurun, who sits on the Governing Board of NALP (National Association of Licensed Paralegals), sees it differently. He sets out here what the future impact of AI will be. For example, he writes: ‘A human (paralegal) interface with AI will be essential for the foreseeable future.’ Read on.

AI is clearly transforming how we approach, execute, and innovate in our work, and paralegals are as impacted by this as any group of professionals. With the capacity to automate up to 40% of the average workday, the implications for efficiency and productivity are profound, especially in sectors reliant on the processing and analysis of vast information volumes, such as the legal field.

For paralegals, the deployment of AI tools, is likely to lead to work involving more nuanced business-led advice rather than collation and administration of data. In addition, there will be a focus on quality control and the optimisation and safeguarding of contractual arrangements. There’s also potential for paralegals to up-skill and become expert legal ‘prompt writers’ (who are used for effective training and deployment of legal AI).

Prompt engineering is much more than a trend.  it is proving to be a fundamental shift, reshaping the way legal professionals interact with technology to enhance their work. Understandably and critically, in law the stakes are high: a poorly constructed prompt could lead to misinterpretation or legal inaccuracy. In contrast a well-designed prompt can provide accurate, reliable results critical to legal decision-making. For example, lets consider an AI tool used for contract analysis. A well-designed prompt can help the tool identify key clauses and terms, and also, most importantly,  understand their implications in different legal contexts. This capability transforms tasks such as contract review, due diligence and even legal research, saving countless hours while improving accuracy.

Legal prompt engineering is a multidisciplinary field that requires a deep understanding of both law and AI. Mastering the field requires not only familiarity with legal terminology and concepts, but also an understanding of how AI models process and respond to language. This dual expertise can be challenging, but is essential to the development of effective legal AI tools – and there is certainly an opportunity for paralegals here.

It’s worth noting that currently even generative AI can only produce ‘new’ content by recycling what it has already been trained on: ‘Garbage In Garbage Out’ – the quality of output is determined by the quality of the input.

Should we be worrying about AI or embracing it?

In most systems already in use which employ AI, the technology acts to support and improve the work of humans. Where firms are using such tech, there are signs that increasingly familiarity is not only helping them to use it effectively, but it is also overcoming any concern that the use of AI could in some way will replace humans. Most surveyed workers say that AI has improved both their performance and their working conditions.

A human (paralegal) interface with AI will be essential for the foreseeable future particularly in areas such as identifying AI ‘hallucination’ of detail in responses and verifying outputs generated. For example, ChatGPT can be prone to ‘hallucinations’ or inaccuracies. In one example ChatGPT falsely accused an American law professor of sexual harassment and cited a non-existent Washington Post report in the process. Chatbots are trained on a vast trove of data taken from the Internet, although the sources are not available in many cases. Operating like a predictive text tool, they build a model to predict the likeliest word or sentence to come after a user’s prompt. This means factual errors are possible, but the human-seeming response can sometimes convince users that the answer is correct.

Paralegals could verify the identity of clients, catch fraudulent transactions and AI voiced phishing scams, and help identify where legal liability lies in the AI value chain; providers (creators) or deployers (users). AI cannot make these distinctions itself, paralegals can.

Preparing for a future with AI

So, how can paralegals prepare for a future with AI, what do they need to consider today to be ready for tomorrow?

I believe, paralegals should focus on targeted applications of AI rather than novelty factors. Developing their understanding of how automation can benefit a firm or in-house team will put them in a great position to the lead the AI transition. It’s worth remembering that, very often, it is the paralegals who have the best insight into the day-to-day processes required to keep a practice running effectively.

Paralegals are in a good position to explore the opportunities that AI brings. This means that they can act as a vanguard of AI experts who understand where AI adoption will bring the most benefit, at the same time as having an understanding of the limitations and also the pit falls of the technology.

—

About the author: Robin Ghurbhurun sits on the Governing Board of the National Association of Licensed Paralegals (NALP) and is MD for Further Education and Skills at Jisc. NALP is a non-profit membership body and the only paralegal body that is recognised as an awarding organisation by Ofqual (the regulator of qualifications in England). Through its Centres around the country, accredited and recognised professional paralegal qualifications are offered for those looking for a career as a paralegal professional.

You can find more about NALP and paralegals here.

–

[ This is an educational think piece by NALP for Artificial Lawyer. ]

Discover more from Artificial Lawyer

Subscribe to get the latest posts sent to your email.



Source link

Follow on Google News Follow on Flipboard
Share. Facebook Twitter Pinterest LinkedIn Tumblr Email Copy Link
Previous ArticlePaper page – Radial Attention: O(nlog n) Sparse Attention with Energy Decay for Long Video Generation
Next Article Logistics and Shipping Support Teams are Adopting Agentic AI
Advanced AI Editor
  • Website

Related Posts

Inside Trump’s Private Dinner with Top AI Leaders

September 9, 2025

Uranium market heats up on nuclear revival hopes

September 9, 2025

Cameco is a one-stop shop to play the nuclear power resurgence: CLSA

September 9, 2025
Leave A Reply

Latest Posts

Leon Black and Leslie Wexner’s Letters to Jeffrey Epstein Released

School of Visual Arts Transfers Ownership to Nonprofit Alumni Society

Cristin Tierney Moves Gallery to Tribeca for 15th Anniversary Exhibition

Anne Imhof Reimagines Football Jerseys with Nike

Latest Posts

Tencent Hunyuan Releases and Open Sources Image Model 2.1, Supporting Native 2K High-Quality Images_the_model_This

September 10, 2025

Task orders and bottlenecks: how the largest US shipbuilder is putting AI to work

September 10, 2025

Does DINOv3 Set a New Medical Vision Standard? – Takara TLDR

September 10, 2025

Subscribe to News

Subscribe to our newsletter and never miss our latest news

Subscribe my Newsletter for New Posts & tips Let's stay updated!

Recent Posts

  • Tencent Hunyuan Releases and Open Sources Image Model 2.1, Supporting Native 2K High-Quality Images_the_model_This
  • Task orders and bottlenecks: how the largest US shipbuilder is putting AI to work
  • Does DINOv3 Set a New Medical Vision Standard? – Takara TLDR
  • Avec une levée de fonds de 1,7 milliards d’euros, Mistral AI devient la première décacorne de France
  • Google’s AI model just nailed the forecast for the strongest Atlantic storm this year

Recent Comments

  1. مراحل فارغ التحصیلی دانشگاه آزاد on 1-800-CHAT-GPT—12 Days of OpenAI: Day 10
  2. Harryjes on 1-800-CHAT-GPT—12 Days of OpenAI: Day 10
  3. شهریه پزشکی پردیس نی نی سایت on 1-800-CHAT-GPT—12 Days of OpenAI: Day 10
  4. تفاوت دانشگاه آزاد و غیرانتفاعی on 1-800-CHAT-GPT—12 Days of OpenAI: Day 10
  5. مدارک لازم برای ثبت نام دانشگاه ازاد on 1-800-CHAT-GPT—12 Days of OpenAI: Day 10

Welcome to Advanced AI News—your ultimate destination for the latest advancements, insights, and breakthroughs in artificial intelligence.

At Advanced AI News, we are passionate about keeping you informed on the cutting edge of AI technology, from groundbreaking research to emerging startups, expert insights, and real-world applications. Our mission is to deliver high-quality, up-to-date, and insightful content that empowers AI enthusiasts, professionals, and businesses to stay ahead in this fast-evolving field.

Subscribe to Updates

Subscribe to our newsletter and never miss our latest news

Subscribe my Newsletter for New Posts & tips Let's stay updated!

LinkedIn Instagram YouTube Threads X (Twitter)
  • Home
  • About Us
  • Advertise With Us
  • Contact Us
  • DMCA
  • Privacy Policy
  • Terms & Conditions
© 2025 advancedainews. Designed by advancedainews.

Type above and press Enter to search. Press Esc to cancel.