Articles for tag: AI solutions, contract management, LangGraph, legal automation, legal technology, multi-agent systems, workflow efficiency

Market News

Why Definely Selected LangGraph for Their Advanced Multi-Agent AI System Development

Definely is transforming the legal industry with AI solutions that enhance lawyers’ daily tasks in Microsoft Word. Aiming to improve efficiency and accuracy, they are developing a complex multi-agent system to tackle time-consuming legal workflows such as contract drafting and negotiation. Using LangGraph, Definely’s new system allows AI agents to handle various legal tasks, from ...

Market News

Why Definely Selected LangGraph for Developing Their Innovative Multi-Agent AI System

Definely is transforming the legal industry by using AI to improve how lawyers work daily. By creating specialized agents that work directly within Microsoft Word, Definely helps lawyers with tasks like drafting, negotiating, and reviewing contracts more efficiently and accurately. The company is building a multi-agent system using LangGraph, which allows lawyers to address complex ...

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Advanced AI Agent Evaluation: Harnessing LangChain and Amazon SageMaker with MLFlow for Enhanced Performance Tracking

Creating effective generative AI agents to handle real-world tasks is a complex process, often fraught with unpredictable behaviors and intricate workflows. Amazon SageMaker AI combined with MLflow offers a robust solution for developers, simplifying the experimentation and evaluation of these AI agents. By integrating tools like LangGraph, practitioners can trace agent performance and enhance decision-making ...

Market News

Build a ReAct Agent from Scratch Using Gemini 2.5 and LangGraph for Enhanced AI Development Efficiency

In recent years, AI applications have advanced significantly, evolving from basic chatbots to sophisticated agents capable of complex reasoning and real-world interactions. These AI agents, known as ReAct (Reasoning and Acting) Agents, utilize large language models (LLMs) to think critically, execute tasks, and adapt their responses based on new information. In this blog, we will ...

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Easily Create a User Interface for Your AI Agent with LangGraph and CopilotKit in Minutes

In this article, you will discover how to create an agent-native research canvas app that utilizes human-in-the-loop features, using tools like Langraph, CopilotKit, and Tavily. The topics covered include understanding AI agents, visualizing a LangGraph agent using LangGraph Studio, and designing the user interface with CopilotKit. You’ll learn how AI agents can perform research tasks ...

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Build Intelligent Stateful AI Agents in Python: A Comprehensive Guide from Real Python for Effective Development

LangGraph is a powerful Python library that helps you create advanced applications using Large Language Models (LLMs). It enhances the capabilities of LangChain by enabling you to build complex, stateful workflows for various LLM tasks. The library allows you to develop agents that can autonomously handle tasks such as parsing emails, sending responses, and interacting ...

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Create Your Own AI Agent: A Step-by-Step Hands-On Tutorial for Beginners

SAP is rapidly advancing its use of AI agents on Joule, showcasing their ability to handle complex requests using a variety of tools. This tutorial serves as a foundation for building a custom AI agent on the Business Technology Platform (BTP). While not production-ready, it provides valuable insights into creating and extending AI agents using ...

Market News

Mastering AI Agents: A Step-by-Step Guide to Building with LangGraph for Beginners

In this article, the author shares their experience of building their first commercial AI agent, which unfortunately failed during a client demo. This setback led to valuable insights about agent architecture, emphasizing that simplicity is key. AI agents, unlike traditional chatbots, can think independently, manage various tasks, and adapt by learning from their experiences. The ...

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