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

AWS AI infrastructure with NVIDIA Blackwell: Two powerful compute solutions for the next frontier of AI

California lawmaker behind SB 1047 reignites push for mandated AI safety reports

TU Wien Rendering #33 – Metropolis Light Transport

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
  • Industry AI
    • Finance AI
    • Healthcare AI
    • Education AI
    • Energy AI
    • Legal AI
LinkedIn Instagram YouTube Threads X (Twitter)
Advanced AI News
Industry Applications

AI Reduces Client Use Of Law Firms ‘By 13%’ – Study – Artificial Lawyer

By Advanced AI EditorJuly 8, 2025No Comments6 Mins Read
Share Facebook Twitter Pinterest Copy Link Telegram LinkedIn Tumblr Email
Share
Facebook Twitter LinkedIn Pinterest Email



A new study by LexisNexis, conducted for them by Forrester, and using a model inhouse legal team of a hypothetical $10 billion company, found that if they were using AI tools at scale internally it could reduce work sent to law firms by 13%, based on the volume of matters handled.

Other key findings included:

‘A 25% reduction in annual time spent advising the business on legal inquiries’ (i.e. advising the business the inhouse team is within).

And, ‘Annual time savings of 50% for paralegals on administrative tasks’ (i.e. paralegals employed by the inhouse team).

To get to these results the consulting group Forrester interviewed four senior inhouse people ‘with experience using and deploying Lexis+ AI’ in their companies. They then combined the four companies into a ‘single composite organization based in North America with $10 billion in annual revenue and a corporate legal staff of 70 attorneys and 10 paralegals. Its legal budget is 0.33% of the organization’s annual revenue’. This scenario was then considered over three years, taking into account broad use of AI.

Now, although there is a clear effort to be empirical here, the dataset is very small – four companies – and the extrapolations on cost and time savings are from a composite entity over three years. So, let’s not get carried away here. It really is a model, not a set of facts.

That said, if all of the Fortune 500, for example, used AI tools across their inhouse teams at scale – and every day, not just occasionally – and actually were able to reduce the amount of work sent out to law firms by 13% in terms of the volume of matters, then that would total many $ millions in reductions of external legal spend across the US Big Law market.

For example, it’s estimated by The American Lawyer that the AmLaw 100’s collective revenue is $158 billion, so you can see the scale of impact here if 13% less work goes out in terms of the number of matters sent to law firms – albeit many of those matters may be for relatively small amounts, as that is the work that inhouse teams will be able to retain internally by using AI.

Of course, it has to be added again that this is not a scientific study, but even if we are very conservative here, we are looking at inhouse teams keeping back a noticeable amount of work in terms of Dollar value – based on this study’s findings.

And here is the key findings summary:

‘An up to 13% reduction in work handled with outside counsel. Time savings for attorneys and the paralegals who support them enable the composite organization to focus on more valuable work and, in turn, handle more work in- house. Work handled by outside counsel includes litigation case matters, transactions or deal work, and support on legal issues that may impact the business. The reduction in work handled by external law firms, particularly transactional matters and support on legal inquiries, increases the volume of matters the organization handles internally by 5% in the first year. Over three years and with a cumulative total of 1,312 additional matters handled internally, avoided outside counsel fees total more than $602,000 for the composite organization.

A 25% reduction in annual time spent advising the business on legal inquiries. Attorneys at the composite organization with access to Lexis+ AI expedite addressing legal inquiries by accelerating research, facilitating summaries, and drafting memos to communicate those findings to various stakeholders. The attorneys spend 20% of their time on legal questions and related tasks that are impacted by Lexis+ AI. Over three years and with a cumulative total of 56 attorneys using Lexis+ AI, the time savings on addressing legal inquiries are worth more than $574,000 to the composite organization.

Annual time savings of 50% for paralegals on administrative tasks. With Lexis+ AI, the composite organization’s paralegals reduce the time they spend summarizing and analyzing documents in preparation for legal work. For the impacted paralegals, 25% of their time is dedicated to case summarization and document analysis. Over three years and with a cumulative total of three paralegals using Lexis+ AI, the time savings are worth more than $53,000 to the composite organization.’

The study also found multiple unquantified, more human-scale benefits around quality of life and the ability to focus on more high value matters.

Lexis/Forrester data.

Overall, and as noted above, although this is a model – and models can be wrong – if this points at the way the future will unfold, then law firms have to work on the assumption total work per client may reduce, especially for those serving more of those ‘complex but routine’ needs.

For firms primarily handling only the most complex and high-risk matters they will likely not notice much change at all. But for those that prop up their incomes with more run of the mill legal needs that inhouse teams have previously sent out, then the study suggests things could get more competitive.

P.S. of course, new and unexpected legal demands may increase across the market that then increase again the level of work sent out to law firms. But, even so, legal AI tools may also then be adapted inhouse to handle those as well…Perhaps the balance of power is shifting….at least for this ‘routine but complex’ work?

—

Legal Innovators Conferences in New York and London – Both In November ’25

If you’d like to stay ahead of the legal AI curve….then come along to Legal Innovators New York, Nov 19 + 20, where the brightest minds will be sharing their insights on where we are now and where we are heading. 

And also, Legal Innovators UK – Nov 4 + 5 + 6

Both events, as always, are organised by the awesome Cosmonauts team! 

Please get in contact with them if you’d like to take part. 

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 ArticleVolunteers use DNA technology, artificial intelligence to find fishermen lost in North Sea decades ago
Next Article The Rise of Chinese AI Startups: Innovation, Investment, and Impact
Advanced AI Editor
  • Website

Related Posts

Tesla Semi completes 5,000-mile winter trial with thyssenkrupp

July 9, 2025

CoreWeave Becomes 1st AI Cloud Provider to Offer NVIDIA RTX PRO 6000 Blackwell GPU at Scale

July 9, 2025

These natgas plays offer upside, TD Cowen says — and they pay dividends

July 9, 2025
Leave A Reply

Latest Posts

Adam Lindemann to Close Venus Over Manhattan After 14 Years

Ed Sheeran Is Ripping Off Jackson Pollock with His Paintings

Art Basel Selects Artist Wael Shawky to Lead Forthcoming Qatar Fair

Pioneer Works Hosts a MSCHF Sculpture You Can Take Home by the Inch

Latest Posts

AWS AI infrastructure with NVIDIA Blackwell: Two powerful compute solutions for the next frontier of AI

July 9, 2025

California lawmaker behind SB 1047 reignites push for mandated AI safety reports

July 9, 2025

TU Wien Rendering #33 – Metropolis Light Transport

July 9, 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

  • AWS AI infrastructure with NVIDIA Blackwell: Two powerful compute solutions for the next frontier of AI
  • California lawmaker behind SB 1047 reignites push for mandated AI safety reports
  • TU Wien Rendering #33 – Metropolis Light Transport
  • PixVerse AI Video Generator: Solving Creative Content Challenges with Advanced AIGC Technology in 2024 | AI News Detail
  • Tesla Semi completes 5,000-mile winter trial with thyssenkrupp

Recent Comments

  1. Account binance on itel debuts CITY series with CITY 100 new model: A stylish, durable & DeepSeek AI-powered smartphone for Gen Z

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.