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Better call a chatbot? Industry insiders approach AI legal tech with caution

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Last year, a lawyer in New York found out the hard way that ChatGPT has a tendency to make up stuff, a phenomenon known as hallucination. 

The case was Mata vs Avianca, Inc (2023). The claimant, Robert Mata, said he was injured by a metal serving cart during a flight to Kennedy International Airport in New York, USA. 

When the Colombian airline Avianca tried to brush off the case, Mata’s lawyers strongly opposed, shooting back with a ten-page brief with references to court decisions like Shaboon v. EgyptAir, Martinez v. Delta Air Lines, Zicherman v. Korean Air Lines, and Varghese v. China Southern Airlines.

The twist: none of these cases actually exist.

This fiasco is a perfect example of the pitfalls of jumping on the AI bandwagon without a safety net. While the new technology is making waves in medicine, research, and automating workflows, the legal sector has remained relatively untouched.

It is perhaps due to the demand for accuracy and a sharp eye for nuance, something AI hasn’t quite mastered—yet.

But can AI assist legal professionals and agencies in enhancing their systems—without compromising on accuracy and ethical standards? Or will it lead to more issues like the one encountered in the Avianca case?

Ask AI, but verify

According to industry insiders, while AI is helping lawyers tackle repetitive tasks, concerns over accuracy remain.

Mumbai-based AUCL, a corporate and legal advisory firm, is a case in point. The firm utilises AI-driven tools for legal research and document review, processing vast amounts of legal data—especially in complex cases. The firm has largely been benefited by AI to streamline certain areas of legal work, particularly when managing large volumes of documents during the discovery phase or when researching case law. 

However, the firm uses multiple layers of human oversight to ensure the accuracy of these solutions. 

“At AUCL, we see AI as a powerful tool to support legal professionals, streamlining repetitive tasks but not replacing human expertise. As AI evolves, it’s crucial to maintain a balance where technology complements rather than competes with professional judgment,” says Akshat Khetan, Founder of AU Corporate Advisory and Legal Services.

While concerns remain about potential pitfalls—such as the missteps highlighted in Mata vs Avianca, Inc—there’s a growing consensus that AI, when used responsibly and under proper oversight, can be a valuable asset to legal professionals.

“It’s always dangerous to use AI for any kind of research for that matter. It doesn’t always give an accurate answer and it’s confusing, especially in legal work where it generalises or makes up case laws. Hence, it’s always a problem to use AI,” says Harshita Tungesh, an advocate practising at the Supreme court. 

“On the basis of ability to think and analyse, AI can not replace a human brain. Your analysis is of your own, AI gives you a generalised perspective which is only fed to it. Careful cross-check, comparison and use of the human brain is very important,” she adds. 

The Supreme Court of India has acknowledged the role of AI in enhancing legal processes. Recently, the apex court confirmed that AI is being used for tasks such as translating judicial documents, enhancing legal research, and automating related activities. 

Minister of Law and Justice Arjun Ram Meghwal, in a written response to the Lok Sabha in August, mentioned that emerging technology is being adopted to transcribe oral arguments into regional languages in Constitution Bench matters.

“The Supreme Court is taking the lead on this by actively translating Supreme Court judgments into multiple regional languages. The initiative is yet to gain significant traction at the High Court levels,” Vikas Mahendra, Partner Keystone & Co-Founder, CORD & TERES tells YourStory. 

When asked about the role of AI in legal research and drafting, Mahendra explained that the key to managing the risks lies in treating AI like the product of a very smart and hard working, but inexperienced junior lawyer.

“AI is here to stay. Lawyers and judges are recognising the incredible power of AI and won’t go back to the old ways. Clients are beginning to expect cost savings achieved through use of AI being passed on to them. Younger lawyers, who are trained to do tasks across various facets of life using AI, will find it difficult to do without,” he explains. 

Furthermore, a committee has been formed by a Supreme Court judge to oversee the translation of important judgments made by the Supreme Court and High Courts. So far, the Supreme Court has translated over 36,271 judgments into Hindi and around 17,142 judgments into 16 regional languages, all available on the e-SCR portal.

Eight High Courts in the country have already launched their e-HCR (electronic high court record) portals, with several others in development.

Booming startups in the space

In 2021, global investments in legal tech startups soared past $1 billion—the highest annual total the sector has ever seen. In India, significant funding activity in legal tech began primarily around 2013, according to a report by IIMA Ventures.  The report titled “Beyond the Bench” reveals that between 2013 and June 2022 (the latest year for which such data is available), 32 Indian startups in this space raised over $57 million across 70 funding rounds.

However, pioneering efforts in the legal AI space aren’t new to India. In 2017, Mumbai-based Cyril Amarchand Mangaldas became the country’s first law firm to utilise AI for its legal services by signing an agreement with Canada-based Kira Systems, a machine learning provider.

Despite a Deloitte report highlighting the unstructured nature of legal data and the heavy reliance on professionals as barriers to GenAI disruption in the legal space, India is witnessing a surge of companies aiming to bridge this gap—and capture a significant share of the market opportunity of legal technology. 

One such company is Visakhapatnam-based LawyerDesk, which offers multiple AI-based platforms for lawyers, students, and enterprises. Among its offerings is Advocase.ai, featuring tools like automated legal drafting that reduce the time to produce complex legal documents from hours to minutes.

“While our AI tools are designed with precision and care, it’s essential for outputs to be reviewed by a legal professional before use. This includes verifying the accuracy of references and ensuring that all legal nuances are correctly addressed,” Anushita S P Karunakaram, Co-Founder and CEO, LawyerDesk tells YourStory.

The company collaborates closely with a team of over 50 professionals, including developers, designers, and legal experts. Notably, more than 2,000 lawyers joined Advocase within just the first 30 days of its launch to help both legal professionals and students, along with addressing emerging challenges in the field. 

Legal tech

Similarly, OpenNyAI is an initiative focused on leveraging AI to enhance justice in India, with founding collaborators including EkStep, Thoughtworks, and Rohini Nilekani Philanthropies.

It is an open and collaborative mission to develop open-source software and datasets to help create AI-powered justice solutions in India.

Mumbai-based Lexlegis is built specifically for Indian legal practitioners. Using proprietary algorithms and advanced Natural Language Processing (NLP) techniques on Indian legal data—including historical judgments, statutes, and case law—Lexlegis claims to understand the intricacies of India’s legal language and interpretations.

Earlier this year, Sarvam AIalso introduced Sarvam AI Legal, a generative AI platform designed to enhance the capabilities of legal professionals.

Another online legal research platform is Jharkand-based mLeAP, which supports judgments from the Supreme Court of India. The platform allows users to input queries in plain English to analyse and retrieve relevant case judgments. This feature was specifically designed with lawyers in Tier II and III cities in mind, who may be more comfortable with local languages. 

Bengaluru-based jhana.ai, a legaltech startup founded in 2021 at Harvard University, recently raised $1.6 million in seed funding, led by Freshworks CEO Girish Mathrubootham. The company offers a generative AI-led paralegal or legal assistant. 

“At this early stage in Indian legal AI, much of the work to do is necessarily centred around education, helping clients to understand what to make of this technology and how to safely take advantage of its potential. Over the next couple of years, we’ll start to see early adopters of legal AI gaining a competitive advantage in the space. Clients of advocates who adopt these tools can expect to see work products and counsel delivered faster, with a lower rate of errors, just as we’ve already seen in software development and management consulting,” says Benjamin Hoffner-Brodsky, Co-Founder of jhana.ai.

While industry insiders believe GenAI will help lawyers, they are treading carefully to avoid trouble. 

The case of Mata vs Avianca, Inc (2023) is a stark reminder. The lawyers and their firm were imposed a whopping $5000 penalty for citing fabricated case citations, showcasing the importance of due diligence and risks while relying on AI for legal proceedings.





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Thesys secures $4M funding led by Together Fund

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AI startup Thesys bags $4 million funding in a round led by Together Fund. The round also saw participation from 8VC, the company said in a statement.

The startup will use the funding to bridge the gap of user experience with AI agents. As a visual collaboration tool, the company will also provide a platform that will enable businesses to ideate, visualise, and ship intelligent experiences at scale.

“The way we engage with technology is changing faster than ever. Static interfaces simply don’t meet the demands of today’s AI-capabilities…At Thesys, we’re building tools that make it possible for businesses to adapt and thrive in this new era,” said Parikshit Deshmukh, Co-founder, Thesys. 

This evolution is about unlocking the full potential of AI-driven interactions and delivering unparalleled user experiences, he added.

“The future of AI relies as much on intuitive, adaptive interfaces as it does on backend capabilities. Thesys’ vision for Generative UI aligns perfectly with Together Fund’s commitment to enabling founders who are redefining the user experience,” said Manav Garg, Co-founder and managing partner of Together Fund.

“By empowering teams to create real-time, personalized interactions, Thesys is setting a new standard for AI-driven interfaces. We’re excited to support their journey in transforming the role of design and development tools for the next generation of AI applications,” he added.

The company, founded by Rabi Shanker Guha and Parikshit Deshmukh this year, emerged from the understanding of the need to provide support in the shift towards AI-driven interfaces, it said.

“Thesys envisions a future where all interfaces dynamically adjust to each user’s behavior, preferences, and needs—driven by what the company calls “Generative UI”. Unlike traditional static interfaces that rely on predefined paths, Generative UI uses AI to create unique, adaptive user interfaces on-the-fly, allowing businesses to provide truly personalized digital experiences,” the company added.

The company plans to launch a UI SDK that is set to enable developers to seamlessly integrate Generative UI into their applications. Additionally, post its closed beta launch, the company plans a general availability (GA) with its product within the next quarter positioning itself as the go-to product toolkit for businesses looking to stay ahead in the AI revolution.

“Thesys is pioneering a transformative shift in UI design workflows by integrating AI-driven adaptability… Their Generative UI approach aligns with our commitment to investing in technologies that drive innovation in user experiences,” said Bhaskar Ghosh, partner at 8VC.





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BrowserStack launches AI-driven Low Code Automation tool

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Software testing platform BrowserStack has rolled out Low Code Automation, a solution to simplify test automation for quality assurance teams, developers, and non-technical users. 

The newly launched solution will address challenges faced by software teams, including manual testing delays and complex automation frameworks, BrowserStack said in a statement. 

While traditional test automation requires coding expertise by often limiting non-technical testers to contribute, this tool allows user—irrespective of their technical background—to create and manage AI-driven automated tests without writing code. Users can also use BrowserStack’s cloud infrastructure for reliable test execution.

“(The AI-powered Low-Code Automation (LCA) simplifies the process of building and maintaining test automation suites compared to traditional tools like Selenium. It reduces the steep learning curve and complexity often associated with automation projects, leading to a quicker return on investment (ROI),” Chintan Doshi, Director of Product Management at BrowserStack, told YourStory

To support development teams worldwide, Low Code Automation speeds up testing cycles, boosts product quality, and enhances user experience by reducing technical barriers. 

“Citizen testers—such as business analysts, product managers, and customer support teams—can easily add validations and create automated tests with the test recorder, without requiring coding skills. This reduces their dependency on developers and QAs and empowers them to actively contribute to testing efforts,” Doshi explained.

Founded in 2011 by Ritesh Arora and Nakul Aggarwal, BrowserStack provides a cloud-based platform for developers to test websites and mobile apps across devices, operating systems, and browsers on demand.

With headquarters in San Francisco and Mumbai, the company has expanded its product line to include over 15 products, of which 10 were launched in the past 18 months.

In August, the Accel-backed firm acquired Berlin-based Bird Eats Bug, an advanced bug-reporting tool. The acquisition aims to address the existing gaps in bug reporting and streamline fragmented testing workflows.





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Flipkart’s delivery arm Instakart reports widening losses, lower revenue in FY24

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Flipkart’s delivery service arm Instakart’s FY24 losses increased multifold to Rs 1718.4 crore, from Rs 324.6 crore in the previous year, hurt by higher expenses and marginally lower revenues. 

The company, which is in the logistics, warehouse, courier and allied services business, clocked an operating revenue of Rs 12,115.3 crore in FY24, 5% lower than Rs 12,787.4 crore it posted a year ago, according to filings made with Toefler. 

During the period, the company’s total expenses increased 6% to Rs 14,149.4 crore, mainly driven by employee benefit and other expenses. 

Logistics services accounted for the majority (about 78%) of Instakart’s total operating revenues, with Rs 9,429.8 crore, marginally lower than what it collected in the previous year.

Warehousing services, which accounted for about 10% of total operating revenues, witnessed a 28.4% drop in revenue, while collection services, which accounted for 12%, remained stable. 

Just a week ago, Flipkart Internet reported a 21% rise in FY24 revenue at Rs 17,907.3 crore helped by rising income from its advertising services.

Flipkart India Ltd, which is Flipkart’s business-to-business (B2B) arm, reported a 26.4% rise in revenue from operations at Rs 70,541.9 crore in FY24. 





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