Latest news with #AvaneeshMarwaha
Techday NZ
3 days ago
- Business
- Techday NZ
Litera enhances Foundation Platform with AI tools for law firms
Litera has introduced a suite of enhancements to its Foundation Platform, aiming to provide law firms with an integrated set of tools for managing firm intelligence and supporting business growth. The Foundation Platform now offers an expanded range of features, including experience management, deal and case insights, customer relationship management, enterprise relationship management, e-marketing, matter scoping and pricing, and financial analytics for clients, matters and attorneys. The latest update brings together data from Litera's CRM system and insights from its experience management platform to provide law firms with a broad-based overview of operations. According to the company, Litera One enables access to this intelligence within the Microsoft suite, allowing legal professionals to use these insights without leaving familiar tools such as Outlook and Word. This approach aims to streamline access to critical data and integrate it within daily workflows. Feature integration "With the latest wave of innovations across our Foundation Platform and the introduction of Lito, Litera is once again redefining what's possible for legal technology," said Avaneesh Marwaha, CEO of Litera. "By empowering legal professionals with unified, AI-driven tools seamlessly embedded in their daily workflows, we're not only accelerating productivity but also setting a new standard for firm intelligence. These enhancements - launched on the eve of ILTACON - are creating real industry buzz and building unstoppable momentum as firms look to embrace the future of legal work," Marwaha said. Previously, information on firm experience was often stored in separate systems, limiting access for partners and lawyers. The new integration within Outlook is designed to address this, allowing legal professionals to obtain answers to queries such as "what is our experience with this type of matter?" in seconds, rather than the hours it previously required. Lito's capabilities Litera has also introduced Lito, an AI-powered legal agent embedded within Litera One. Lito provides firm experience search in natural language, accessible via both Litera One Outlook and Litera One Web. Users' search histories are synchronized across these interfaces. As part of Litera One for Outlook, Lito can proactively respond to experience-related queries. For example, it can process a client's email requesting information on the firm's M&A experience with gaming assets and promptly provide relevant matters and personnel directly within Outlook. This capability is intended to streamline the process of leveraging firm experience for business development and client service. Enhancements to Foundation 365 The platform also features new integrations and updates for Foundation 365, including the syncing of client and matter records between CRM and experience management systems. Additional updates include AI-powered market insights delivered within Litera One for Word, language translation of matter descriptions, and the automatic embedding of matter task and time data into the Foundation Matter interface. Further, enhancements support the extraction of key experience data from litigation documents and offer support for custom deal points alongside pre-set options. The user interface of Foundation Marketing, Foundation Finance, and Foundation Scoping has also been updated with a more modern design. Availability and future plans The integration between Foundation and Foundation 365 for syncing client and matter data is set to be generally available in the fourth quarter of 2025. With these updates, Litera aims to provide a platform that allows legal professionals to access and action firm intelligence directly within their everyday workspace, potentially expediting the process of business growth, client engagement, and service delivery.
Techday NZ
24-07-2025
- Business
- Techday NZ
Litera unveils Lito AI agent to transform legal workflows
Litera has announced the launch of Lito, an artificial intelligence-powered legal agent built into Litera One, designed to assist legal professionals in streamlining workflows and accessing firm resources efficiently. Lito offers a set of AI legal skills and is integrated into legal professionals' existing tools through a single interface. According to the company, the agent will enable lawyers to perform thousands of tasks, quickly locate relevant information, and deliver answers for clients, with performance improving over time as the AI learns from usage. AI functionality Lito functions as a virtual team member, supporting a wide range of legal and business operations. It draws on both Litera's previous technology developments and a new agentic architecture. The agent is designed to interpret user intent, aligning its capabilities to deliver outcomes based on access to structured data provided by the firm. "We built Lito to give our customers a massive edge, giving every lawyer a virtual 'team' behind them who can execute thousands of workflows, find the right information and deliver answers immediately for their clients," said Litera CEO Avaneesh Marwaha. "Combining the unique scope, data, and intelligence built over the span of 30 years into Litera's technology with the Lito agentic engine on top, we have solved a major challenge 86% of lawyers complain about: their disparate and complex tools, and inability to sort through tremendous amounts of data and answer questions needed to quickly win over their clients." Lito is designed to automate complex tasks and generate immediate insights using Foundation and Foundation 365. The agent connects only to permissioned, structured firm data, with controls in place to maintain data governance and privacy standards. Litera states that Lito's infrastructure is based on enterprise security principles to ensure confidentiality and compliance for legal professionals. Integrated features Lito's features are accessible through Outlook and web interfaces, and include several core tools for document analysis and legal workflow management. The chat function offers a gateway to the Litera skill ecosystem and can analyse documents in real time. The 'Analyse in Grid' feature allows users to submit multiple prompts across multiple documents at once, supporting side-by-side comparison and validation of extracted data. A comparison tool enables users to detect changes between documents in various formats, including Word, PDF, Excel and PowerPoint. The tool supports comparison between individual documents, multiple documents, or large sets, and can provide AI-driven summaries, risk analysis, and recommendations for rewriting clauses. Lito also offers a natural language search experience, leveraging the Foundation data backbone to provide instant access to client, matter, lawyer, and third-party profiles stored by the firm. This is intended to help users retrieve relevant precedent matters and data points efficiently, supporting decision making without leaving their workflow. Further, Lito includes tools for contract review with built-in definition lookups, and various AI legal skills tailored to key legal processes. These include running form checks on regulated documents, generating interim and post-closing timelines, and compiling open item lists. Availability and approach The company has stated that Lito will be available for general release in October, with early access provided to select users from late August. Lito is part of a series of updates and enhancements under the company's product roadmap for legal technology and AI solution development. Litera's aim is for Lito to help address the workflow complexity and information management challenges encountered by lawyers. The integration with Litera One and focus on security and data permissions are positioned to support compliance requirements in legal practice. Key product features, ongoing announcements and further details about Lito's functionality will be provided by the company in the coming months as part of its product strategy.
