Lander & Rogers

Halisok specializes in the extraction of key data points from large volumes of unstructured documents.

DraftWise, Inc. is a New York-based company that specializes in developing an online integrated tool for drafting legal contracts. Founded in 2020, DraftWise offers an AI-powered contract and negotiation platform designed to enhance the efficiency of law firms in creating high-quality contracts. The platform provides lawyers with data-driven intelligence that streamlines the contract workflow, from the initial draft to final negotiations. It integrates seamlessly with Microsoft Word and other software products, enabling users to access shared clause libraries and identify precedents easily. Additionally, DraftWise facilitates quick drafting by giving lawyers instant access to the firm's collective knowledge and previous contracts, allowing for customization that meets specific technology and compliance requirements.

NetNada is an environmental technology company that uses machine learning and artificial intelligence to measure, analyze, and communicate carbon emissions across business activities and purchasing. It provides a concise carbon emissions map for each activity, along with ongoing emissions analysis and net benefits information, and curates content for clients’ chosen media channels. By translating emissions data into actionable insights, NetNada supports organizations in pursuing net-zero goals while aiming to improve efficiency and profitability.

BotL changes the way law students and legal professionals practice by teaching them design, innovation, and technology skills. BotL objectives are empowering, enhancing, and educating.

SettleIndex is a legal technology company that provides a decision and risk analysis platform for lawyers and corporate legal departments to assess, monitor, and manage disputes. The platform visualizes risk, informs strategy, tracks case progress with performance indicators, and supports large-scale litigation management. It enables users to build financial models for disputes, forecast outcomes, and collect structured litigation data to improve performance over time.