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Artificial Intelligence

FIGHTRIGHT Technologies Launches LawGeek, an AI Chatbot for Initial Legal Guidance, Under its “BharatKanoon” Brand

FIGHTRIGHT Technologies, a startup specializing in litigation funding & analytics, has announced the launch of its generative AI-based chatbot, LawGeek, today. This innovative tool, the first offering under the BharatKanoon brand, is engineered to provide users with a foundational direction for their legal queries, a pioneering move in their legal research journeys.

LawGeek, pronounced as ‘logic,’ is currently in the beta phase and will serve as an initial guidepost for legal research. It will save users time by pointing them in the right direction and providing the critical information they need.

This project is revolutionizing the realm of legal research and will be a precious asset for law students, legal professionals, and the general public in search of legal information.

Embracing AI for Accessible Legal Advice

“At FIGHTRIGHT, we have always believed in the transformative power of AI in redefining how we access legal advice,” said Nitin Jain, CEO and Co-Founder of FIGHTRIGHT Technologies. “Our AI chatbot, LawGeek, in its beta version under the BharatKanoon brand, demonstrates our steadfast commitment to making basic legal knowledge more readily available to everyone.”

Differentiating itself through the employment of a sophisticated generative AI model, LawGeek, in its beta phase, doesn’t merely offer static responses based on pre-set rules. Instead, it comprehends users’ queries in-depth and generates responses carrying pertinent information.

LawGeek

“Our AI chatbot is named LawGeek, combining the essence of law with the modern era’s technology obsession,” stated Vishal Mangal, COO and Co-Founder of FIGHTRIGHT Technologies. “The name ‘LawGeek’ perfectly encapsulates our vision of creating a tool that is both proficient in the complexities of law and passionate about technology, much like a ‘geek’. We see LawGeek as a digital ally for those starting their legal journeys in this digital era.”

The beta launch of LawGeek follows intensive testing and development, emphasizing a user-friendly, intuitive, and technically proficient tool. Under the BharatKanoon brand, this launch represents an exciting leap forward. It changes how legal professionals and laypeople can access and understand basic legal information.

About FIGHTRIGHT Technologies

FIGHTRIGHT Technologies is an innovative startup based in Kolkata, India. Its primary areas of focus include:

Litigation Funding: FIGHTRIGHT Technologies offers non-recourse funding to claimants/litigants with commercial claims to support their litigation expenses.

Litigation Analytics employs advanced AI and machine learning technologies. The company provides practical and reliable legal information. This information is strategic to any litigation. Their tools assist in processing and analyzing vast volumes of legal data, leading to more informed decisions and strategies.

Under the BharatKanoon brand, FIGHTRIGHT Technologies has taken an essential first step. They have launched LawGeek in beta, aiming to make basic legal knowledge even more accessible. With LawGeek, users can now receive immediate and preliminary answers to their legal queries.

visit: https://bharatkanoon.ai/ to explore how the beta version of LawGeek under BharatKanoon can provide immediate answers to your law-related questions.

We invite you to experience the potential of AI in simplifying your legal journey, starting with LawGeek.

by Team SNFYI

Facebook is testing a new feature that invites some users—mainly in the US and Canada—to let Meta AI access parts of their phone’s camera roll. This opt-in “cloud processing” option uploads recent photos and videos to Meta’s servers so the AI can offer personalized suggestions, such as creating collages, highlight reels, or themed memories like birthdays and graduations. It can also generate AI-based edits or restyles of those images. Meta says this is optional and assures users that the uploaded media won’t be used for advertising. However, to enable this, people must agree to let Meta analyze faces, objects, and metadata like time and location. Currently, the company claims these photos won’t be used to train its AI models—but they haven’t completely ruled that out for the future. Typically, only the last 30 days of photos get uploaded, though special or older images might stay on Meta’s servers longer for specific features. Users have the option to disable the feature anytime, which prompts Meta to delete the stored media after 30 days. Privacy experts are concerned that this expands Meta’s reach into private, unpublished images and could eventually feed future AI training. Unlike Google Photos, which explicitly states that user photos won’t train its AI, Meta hasn’t made that commitment yet. For now, this is still a test run for a limited group of people, but it highlights the tension between AI-powered personalization and the need to protect personal data.

by Team SNFYI

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by Team SNFYI

You might’ve heard of Grok, X’s answer to OpenAI’s ChatGPT. It’s a chatbot, and, in that sense, behaves as as you’d expect — answering questions about current events, pop culture and so on. But unlike other chatbots, Grok has “a bit of wit,” as X owner Elon Musk puts it, and “a rebellious streak.” Long story short, Grok is willing to speak to topics that are usually off limits to other chatbots, like polarizing political theories and conspiracies. And it’ll use less-than-polite language while doing so — for example, responding to the question “When is it appropriate to listen to Christmas music?” with “Whenever the hell you want.” But Grok’s ostensible biggest selling point is its ability to access real-time X data — an ability no other chatbots have, thanks to X’s decision to gatekeep that data. Ask it “What’s happening in AI today?” and Grok will piece together a response from very recent headlines, while ChatGPT, by contrast, will provide only vague answers that reflect the limits of its training data (and filters on its web access). Earlier this week, Musk pledged that he would open source Grok, without revealing precisely what that meant. So, you’re probably wondering: How does Grok work? What can it do? And how can I access it? You’ve come to the right place. We’ve put together this handy guide to help explain all things Grok. We’ll keep it up to date as Grok changes and evolves. How does Grok work? Grok is the invention of xAI, Elon Musk’s AI startup — a startup reportedly in the process of raising billions in venture capital. (Developing AI’s expensive.) Underpinning Grok is a generative AI model called Grok-1, developed over the course of months on a cluster of “tens of thousands” of GPUs (according to an xAI blog post). To train it, xAI sourced data both from the web (dated up to Q3 2023) and feedback from human assistants that xAI refers to as “AI tutors.” On popular benchmarks, Grok-1 is about as capable as Meta’s open source Llama 2 chatbot model and surpasses OpenAI’s GPT-3.5, xAI claims. Image Credits: xAI Human-guided feedback, or reinforcement learning from human feedback (RLHF), is the way most AI-powered chatbots are fine-tuned these days. RLHF involves training a generative model, then gathering additional information to train a “reward” model and fine-tuning the generative model with the reward model via reinforcement learning. RLHF is quite good at “teaching” models to follow instructions — but not perfect. Like other models, Grok is prone to hallucinating, sometimes offering misinformation and false timelines when asked about news. And these can be severe — like wrongly claiming that the Israel–Palestine conflict reached a ceasefire when it hadn’t. For questions that stretch beyond its knowledge base, Grok leverages “real-time access” to info on X (and from Tesla, according to Bloomberg). And, similar to ChatGPT, the model has internet browsing capabilities, enabling it to search the web for up-to-date information about topics. Musk has promised improvements with the …