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- AI in the legal system: good or bad?🧑⚖️
AI in the legal system: good or bad?🧑⚖️
AI-enhanced justice system, OpenAI warns of global AI threats, Google rolls back AI summaries and more!
Everyday AI
May 31, 2024
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Today in Everyday AI
7 minute read
🎙 Daily Podcast Episode: AI is great for efficiency but what happens when we use it in the legal space? Can AI enhance the legal system and its impact? Or is it just a race for more efficiency? Give it a listen.
🕵️♂️ Fresh Finds: A streaming service that lets you generate your own custom shows, McKinsey report on AI in 2024 and even more Sam Altman/OpenAI drama. Read on for Fresh Finds.
🗞 Byte Sized Daily AI News: OpenAI exposes AI global threats, Google to reel back AI summaries and ChatGPT becomes accessible for universities and nonprofits. For that and more, read on for Byte Sized News.
🚀 AI In 5: Looking for ways to integrate GenAI into your day-to-day? Here’s the 5 ways we use it every day. See it here
🧠 Learn & Leveraging AI: Can AI transform legal work and its impact or is it just a great efficiency tool? We break down what an expert had to say. Keep reading for that!
↩️ Don’t miss out: Did you miss our last newsletter? We talked about WWT’s GenAI blueprint, OpenAI and Apple agree on partnership and tech giants having a secret meeting. Check it here!
Building A Human-Led, AI-Enhanced Justice System 🧑⚖️
When we talk about AI, it's always about:
more efficiency
more tasks
more growth
But when it comes to the legal system, can AI help law firms with impact and not just efficiency?
Evyatar Ben Artzi, CEO and Co-Founder of Darrow, joins us to discuss how AI can enhance the legal landscape.
Join the conversation and ask Jordan and Evyatar questions on AI in the legal world here.
Also on the pod today:
• Use of GenAI in the legal system ⚖️
• Use of LLMs in the legal system 🤖
• AI's impact on efficiency in the legal industry 🧑⚖️
It’ll be worth your 32 minutes:
Listen on our site:
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Here’s our favorite AI finds from across the web:
New AI Tool Spotlight – Eve helps with workplace stress, DocentPro is an AI travel guide and Buglab is spellcheck for UI.
Trending in AI – This new streaming service is letting users create their own shows with AI.
Business of AI - McKinsey has released a report on the state of AI in 2024 so far.
AI Drama – After speculation that Sam Altman was fired from Y Combinator, the co-founder has released a statement.
I got tired of hearing that YC fired Sam, so here's what actually happened:
— Paul Graham (@paulg)
9:13 AM • May 30, 2024
Read This – A report by Genpact and HFS Research shows that only 5% of companies have achieved ‘mature’ generative AI initiatives.
Perplexity AI — Perplexity adds some shiny new AI features to write reports for you.
1. OpenAI Launches ChatGPT For Universities and Nonprofits 🧑🏫️
OpenAI is launching ChatGPT Edu for universities, powered by the faster GPT-4o model with improved multimodal capabilities. This allows universities to deploy AI responsibly for various tasks like reviewing resumes and grading.
Nonprofit organizations can now access ChatGPT Team at a discounted rate of $20 per month per user.
2. Sam Altman Considers Turning OpenAI into For-Profit Organization 👀
In a recent report by The Information, it was revealed that Sam Altman, the CEO of OpenAI, is exploring the idea of transitioning the company into a traditional for-profit structure. This potential restructuring aims to strike a balance between raising capital and continuing the mission of developing safe artificial general intelligence.
The move follows controversies surrounding Altman's leadership, including transparency issues and withholding information from the board.
3. Google Takes a Step Back with AI Overviews ↩️
Google announced plans to scale back the use of AI-written summaries in search results, particularly in response to nonsensical and satirical queries. The tech giant aims to enhance accuracy by limiting health-related topics and refining detection mechanisms for misleading information.
With billions of daily queries, Google acknowledges the need to address oddities and errors in AI-generated responses.
TBH, we might miss some of these obnoxiously bad AI Overviews.
4. OpenAI Exposes Covert Influence Operations 🚩
OpenAI reveals how threat actors from Russia, China, Iran, and Israel harnessed AI models to create fake content on sensitive global issues like Russia's invasion of Ukraine and the conflict in Gaza.
These campaigns aimed to manipulate public opinion and sway political outcomes. The disclosure raises alarms over the potential misuse of advanced AI technology in deceptive operations.
5. ElevenLabs Unveils Tool for Sound Effects Generation 🔊
ElevenLabs introduces a pioneering tool enabling users to create diverse sound effects through simple prompts. From the tranquil "waves crashing" to the dynamic "racing car engine," a wide array of auditory experiences awaits.
Free users are granted 10,000 characters monthly, allowing for the production of approximately 60 distinct sound effects.
6. Dell Faces Investor Disappointment Despite AI Revenue Surge 📉
Dell Technologies' stock plummeted by 19% after reporting a 6.3% revenue increase to $22.2 billion, driven by AI server demand. Analysts express concerns over Dell's AI server sales outlook for the year, highlighting potential challenges ahead.
This performance reflects the evolving landscape of AI technology and its impact on the tech industry's market dynamics.
7. Big tech unites against NVIDIA 🤝
Does NVIDIA now have real challengers?
The UALink Consortium, announced by AMD, Intel, HPE, Broadcom, Google, Microsoft, Meta, and others, aims to standardize high-speed communication for AI accelerators.
This collaborative effort challenges NVIDIA’s dominance and promises enhanced integration, scalability, and performance for AI hardware. Enabling connectivity of up to 1,024 accelerators in a pod, the consortium could revolutionize the future of AI computing.
5 Simple Ways to Use Generative AI and Save Time!
We use AI 100s of times a day.
Whether you’re doing some research, needing to summarize content, or getting tasks done, GenAI has unlimited use cases.
We’re sharing 5 simple ways we use GenAI every day.
Check out today's AI in 5.
🦾How You Can Leverage:
Everything around AI is more.
More efficiency.
More productivity.
More profit.
What about… better?
When it comes to the legal system, though, the race for efficiency and productivity isn’t always the best race to run.
At least not according to Evyatar Ben Artzi.
Evyatar is the CEO and Co-founder of Darrow, an AI-powered platform that helps lawyers find valuable legal cases efficiently.
Sure, a huge chunk of legal teams are finding big efficiency gains with Generative AI.
But… then what?
More clients?
Or more meaningful work?
Evyatar shed light on the efficiency AI vs. impactful AI dilemma that many legal teams may face.
Let’s break down what you need to know.
Because even if you’re not in the legal industry, Evyatar dropped some impactful takes. (And philosophical!)
👇
1 – Efficiency isn’t bad 👍️
Doing more legal work faster isn’t necessarily a bad thing.
But, Evyatar said there’s sometimes TOO much of a focus on using Generative AI just for efficiency.
Generative AI can gobble up mountains of paperworks that legal teams normally need to manually sift through.
Evyatar, though, said the important thing is what lawyers do AFTER they gain those efficiency gains.
He said legal teams should focus less on billable hours and more on what they can do with more hours to create more impactful outcomes.
Try this:
This article take a closer look at a survey on how Generative AI is specifically impacting the legal industry.
The study shows that while legal professionals have a positive outlook on the use of generative AI there are concerns about potential for unethical usage.
We were surprised by a few things, such as only 12% saying they use legal-specific GenAI today
2 – Public data = more impact 📊
An underdog use-case of using large language models in the legal space?
Unearthing connections between data and outcomes that might be harder for legal teams to spot.
Evyatar talked about the example on how some AI-data crunching helped a client analyze public data to find a link between herbicide and pesticide use to high cancer rates.
Without the data-digging prowess of AI, the task might have been too tall or laborious to undertake.
Try this:
Should legal teams be using LLMs when it comes to crunching data?
And what are the pitfalls to look out for?
This study from McKinsey breaks down the difference between being a "taker," a "shaper," and a "maker" when incorporating GenAI into your operations.
This reports shows the powerful potential of AI in handling large datasets to derive impactful legal insights.
3 – Law’s impact on humanity 🧑⚖️
Lawyers are people, too.
(Insert your bad lawyer joke here.)
Evyatar highlighted how Generative AI can help legal teams drowning in paperwork, tasks and intensive cases find light at the end of the tunnel.
When it comes to the type of knowledge work lawyers typically take on, LLM specialities like summarization, outlining and drafting content can win back time in a big way.
The reward?
Lawyers can better focus on their mental health, collaboration, and the mission of their firms.
When legal teams can untie the mess of manual knowledge work with LLMs, they can shift their focus on creating human-first missions to guide their future practice and seek a higher form of justice.
Try this:
No joke — high-stakes legal work can take a huge toll on us humans.
This report shows that 46% of legal professionals have considered leaving law due to burnout or stress.
Sheesh.
Given the high rate of stress and burnout, we can’t help but to think how much of an impact of some miseducation of LLMs may have adversely impacted the legal community.
Think, if the infamous cases of lawyers submitted legal briefs to the courts that contained ChatGPT-induced hallucinations had never happened, would LLM usage at law firms be higher?
What do you think?
⌚
Numbers to watch
45%
According to a report by Genpact and HFS Research, 45% of organizations are delaying investment in AI.
Now This …
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