SuitAgent - An open-source AI-powered legal litigation agent that analyzes the entire process from judgment to enforcement.

What is SuitAgent?

SuitAgent is an AI-powered legal litigation agent based on the Claude Code architecture. It comprises 10 professional AI agents that collaborate to break down complex litigation cases into multiple independently executable workflows, enabling efficient generation of legal documents. The framework employs a four-layer architecture, covering the entire process from pre-litigation analysis to judgment enforcement, supporting one-click startup, flexible combination, and standardized output. By intelligently recognizing document types and scenarios, SuitAgent can automatically complete tasks such as document analysis, evidence review, strategy formulation, and document drafting, significantly improving lawyers' work efficiency and representing an innovative tool in the legal services field.

Main functions of SuitAgentd

• Document Analysis and ParsingThe DocAnalyzer intelligent agent automatically parses various legal documents (such as complaints, judgments, court transcripts, etc.), extracts key information, and supports multiple formats such as PDF, Word, and images.
• Evidence AnalysisEvidenceAnalyzer is an intelligent agent that deeply analyzes evidence materials, assesses their authenticity and probative value, generates cross-examination opinions, and provides suggestions for supplementary evidence.
• Identification of Controversial PointsThe IssueIdentifier intelligent agent accurately identifies the points of contention in a case and automatically associates them with relevant legal provisions, providing a basis for subsequent analysis.
• Legal ResearchThe Researcher agent interprets legal provisions and retrieves cases, provides legal application advice, and supports the depth and breadth of legal research.
• Litigation strategy developmentThe Strategist agent develops litigation strategies based on case analysis results, conducts SWOT analysis and risk assessment, and provides strategic recommendations.
• Legal document generationThe Writer agent generates various legal documents based on the analysis results, such as complaints, answers, and pleadings, ensuring standardized formatting and professional content.
• Case Report and SummaryThe Reporter and Summarizer agents generate structured case reports and concise summaries, respectively, to help quickly understand the full picture of a case.
• Schedule planning and remindersThe Scheduler intelligent agent manages statutory deadlines and case timelines, providing work hour statistics and reminders for important deadlines.
• Quality reviewThe Reviewer agent performs quality control on all outputs, checking the accuracy, logic, and completeness of the information, and providing suggestions for improvement.
• Automated workflow orchestrationBased on the type and scenario of the uploaded document, it automatically selects the best workflow combination to complete complex tasks with one click, greatly improving efficiency.

SuitAgentd's technical principles

• Multi-Agent CollaborationSuitAgent consists of 10 specialized AI agents, each responsible for a specific task, such as document analysis, evidence review, legal research, and document generation. These agents work collaboratively to complete complex legal analysis and document generation tasks.
• Layered ArchitectureSuitAgent employs a four-layer architecture, dividing the agent into an input layer, analysis layer, output layer, and support layer based on its functions. This layered design offers the following advantages:
  • Clear responsibilitiesEach layer focuses on a specific task, avoiding functional overlap.
  • loose couplingLayers interact with each other through standard interfaces, which facilitates maintenance and expansion.
  • Flexible combinationIt can enable specific levels of intelligent agents as needed and supports incremental updates.
  • Easy to understandA clear hierarchical structure helps users quickly understand how the system works.
• Context Inheritance and Dynamic UpdateSuitAgent maintains independent contextual information for each case, storing basic case information, points of contention, and legal research results in separate files. When a new document is uploaded, the system automatically inherits previous analysis results, performing incremental updates based on the existing data, thus avoiding redundant work.
• Automated Workflow OrchestrationSuitAgent can automatically identify and select the best workflow combination based on the uploaded document type and usage scenario. For example, upon receiving a complaint, it can automatically initiate the entire process from document analysis to response generation, automatically perform evidence analysis and generate cross-examination opinions, automatically adjust litigation strategies, and generate trial summaries.
• Context Engineering with Claude CodeSuitAgent is developed based on the Claude Code architecture. Utilizing its context engineering capabilities, it decomposes legal tasks into multiple sub-tasks, with each agent only returning the final result to the main agent. The main agent then makes decisions and judgments based on the results, ensuring the consistency and coherence of the legal task context.
• Quality Assurance MechanismSuitAgent embeds a verification mechanism in each agent, and the Reviewer agent performs a comprehensive quality review of all outputs. The system checks the accuracy of information extraction, the logic of evidence analysis, and the accuracy of legal citations, providing quality ratings and improvement suggestions to ensure high-quality and consistent output.
• Flexible Model Configuration and SwitchingSuitAgent supports a variety of domestic large models (such as Zhipu AI, Lunar Dark Side, MiniMax, etc.), and users can configure different models according to their needs and quickly switch between them through tools (such as cc-switch) to adapt to different usage scenarios and performance requirements.

SuitAgentd's project address

• GitHub repository: https://github.com/cat-xierluo/SuitAgent

Application scenarios of SuitAgentd

• Received the complaint (defendant responds to the lawsuit)SuitAgent automatically parses the complaint, identifies the points of contention, conducts legal research, develops response strategies, drafts the defense, and generates a complete case analysis report, helping lawyers quickly prepare for litigation.
• New evidence examinationThe system can analyze new evidence, assess its probative value and relevance, generate professional cross-examination opinions, provide suggestions for supplementary evidence, and help lawyers complete cross-examination work efficiently.
• Post-trial strategy adjustmentSuitAgent analyzes court transcripts, compares changes in evidence, adjusts litigation strategies, and generates court summaries and strategy adjustment suggestions.
• Plaintiff files lawsuit (complete lawsuit process)From analyzing case materials to identifying points of contention, and then to generating the complaint and evidence list, SuitAgent provides end-to-end support to ensure thorough preparation for filing a lawsuit.
• Pre-litigation consultation (providing service plans)SuitAgent quickly identifies client needs based on communication records, generates legal service proposals and summaries, and helps lawyers respond to inquiries efficiently.