AI-powered Legal Tech.

31 मई 2021

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From how we buy our groceries to how we conduct banking transactions, almost every aspect of our lives is being disrupted with continuous advancements in technology. Even traditional, not-so-tech-savvy industries like legal services are joining the tech bandwagon. As per research by CB Insights, legal tech startups have raised over $ 700 mn in funding since 2011. Leveraging emerging technologies like AI & ML, variety of tech-enabled start-ups are devising new and interesting ways to connect consumers to the legal ecosystem.

Generally, it has been observed that the full gamut of AI’s capabilities are best utilized when digitized documents are available. With the Supreme Court digitizing a whopping 10 million pages and records of civil appeals this year, AI is increasingly being adopted by numerous law firms. For example, AI-based products can be applied in prioritisation of pending cases, summarising court proceedings and improving the quality of research.

Some firms like NearLaw have developed legal market places using AI and Natural Language Processing (NLP) to help lawyers and legal professionals access legal information. It has also developed AI-enabled case-law research tools driven by summarisation algorithms coupled with machine learning to rank the cases using Case Ranking. Such tools enable lawyers to know which cases are better suited to be cited in the courts over others and also provide analytics on how the network of cases are inter-related.

While other firms are leveraging AI to offer virtual legal research assistants like CaseIQ, which automate mundane tasks, reducing research time from anywhere between 5% to 50% of what is normally needed on legacy system. Even Judges can upload both the appellant’s counsel’s submission and the respondent’s counsel’s submission directly into CaseIQ and within seconds see whether both parties are missing out on any important precedents that are important to the case, enabling them to quickly take into account the whole body of applicable law before ruling.

Similarly, SpotDraft has developed an artificial intelligence-powered platform that uses advanced machine learning algorithms to automate drafting and negotiating legal contracts. It provides solutions to complex legal dealings, including drafting, managing and storing paperwork online, analysing contracts and automating invoices, besides sending reminders and offering expert advice on legal compliances. Even legal firms such as Cyril Amarchand Mangaldas are now leveraging the power of AI for contract analysis and review by adopting Canada-based machine learning legal system Kira.

Although AI can prove to be useful in predicting what documents will be relevant to a case, we feel that AI will not replace lawyers but will augment their abilities. It has the potential to make them more productive, efficient and aware about their domain of work.

Credits : Akhil Handa

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Dear Reader,
From Amazon Alexa to Siri, Artificial Intelligence (AI) has gained serious footholds in our personal lives. However, when it comes to IT operations platforms, AI and Machine Learning technologies are still in the nascent stages.
Incidentally, the forces of digital business transformation are necessitating a change to traditional IT management techniques. Hence, advanced approach to IT-Ops, also known as AI-Ops (Artificial Intelligence for IT Operations) is being developed, which combines algorithmic and human intelligence to provide full visibility into the state and performance of the IT systems.
AI-Ops bridge three different IT disciplines - service management, performance management and automation - to accomplish its goals of continuous insights and improvements. Gartner predicts that the use of AI-Ops by large enterprises to monitor applications and infrastructure will rise from 5% in 2018 to 30% by 2023.
In this reference, SysTrack has developed AI-Ops-based platform which incorporates natural language processing (NLP) and AI-driven sentiment scoring. The integration of NLP powers an easy-to-use search function that enables the IT Team to gain holistic idea about their environment. Through integrations with AI-Ops platforms, including IBM Operations Analytics – Predictive Insights, the platform provides a detailed real-time and historical endpoint data that IT operations need to execute AIOps use cases, including proactive monitoring. The NLP engine, allows IT to type or speak questions about their environment in plain English and return suggested answers for accelerated root cause analysis.
Multiple financial institutions are also incorporating AI-Ops in their business functions. For instance, US Bank is leveraging AI-Ops to increase automation across the business lines by analyzing large, monitoring-driven data sets. With the help of AI-Ops, US Bank envisions that the query and complaint resolution will be more effective, delivering better up time and improving customer experience.
Similarly, Similarly, Barclays Bank is using AI-Ops platform through AI and machine learning to analyse end-to-end analysis of IT infrastructure based on various monitoring tools to pull together the required information in order to deliver the best user experience.
As machine-learning systems become more accurate and reliable, routine and well-understood actions can be triggered without human intervention, potentially resolving issues before users are impacted or even become aware of any problem.
Credits : Akhil Handa Manish Kulkarni

Automated Forest Restoration

Dear Reader,  
Forest restoration has the potential to reverse land degradation through restoration or rehabilitation of degraded land. It can be a climate change mitigation strategy, and could provide other co-benefits, including increasing forest productivity, biodiversity, and carbon sequestration. It provides aesthetic and socio-cultural benefits, such as the potential to improve the livelihoods and resilience of forest-dependent communities.  
Zurich based, GainForest, uses artificial intelligence to reverse deforestation. Its algorithms analyze data from satellites, drones and field monitoring to measure sustainable land use. It’s an app that aims to help maintain and restore forests. GainForest gets funding from the crypto community to provide finance to community members if they maintain their patch of land for an agreed duration. The GainForest team uses publicly available data from Global Forest Watch to monitor and evaluate community success. It is also developing advanced artificial intelligence algorithms to help forecast future forest cover. 
Flash Forest is Canada’s first-to-market and largest drone reforestation company using UAV hardware, aerial mapping software, automation, and biological seed-pod technology to reforest the planet at a rapid pace. It is a reforestation company that aims to plant at 10 times the normal rate and at a fraction of the cost of traditional tree planting techniques. With drone engineering, it brings new levels of accuracy, precision and speed to the reforestation industry. By 2028, the start-up aims to plant a full 1 billion trees. 
Brazil based startup, Treevia, has developed a remote forest-monitoring system called SmartForest. It connects forests around the world into the internet to ensure more sustainable use of natural resources. The solutions offered by SmartForest include digital asset registration systems, forest research using high-precision data, hazard assessment and specialised forestry consultation.  
Satelligence helps companies achieve a deforestation-free sourcing and production of palm oil, cocoa, coffee, soy, and other commodities. Building on artificial intelligence, satellite technology and supply chain data, the company provides daily insights into the global performance of agricultural production and supply chain risks. Satelligence maps and monitors forests, planted palm areas, deforestation, and fire impact. 
Deforestation and forest degradation continue to take place at alarming rates, which contributes significantly to the ongoing loss of biodiversity. As per Food and Agriculture Organisation of the United Nations the area of primary forest worldwide has decreased by over 80 million hectares since 1990. Current deforestation rates worldwide are unsustainable. Efficient and quality reforestation techniques are essential to rapidly implement solutions to our global ecological crisis.
Credits : Akhil Handa Manisha Gawle

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