mirror of
https://github.com/Shubhamsaboo/awesome-llm-apps.git
synced 2026-03-11 17:48:31 -05:00
Merge remote-tracking branch 'origin/ai-legal-agents' into ai-legal-agents
hould be don the commit.
This commit is contained in:
Madhu
@@ -36,6 +36,7 @@ A curated collection of awesome LLM apps built with RAG and AI agents. This repo
|
||||
### AI Agents
|
||||
- [💼 AI Customer Support Agent](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/ai_agent_tutorials/ai_customer_support_agent)
|
||||
- [📈 AI Investment Agent](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/ai_agent_tutorials/ai_investment_agent)
|
||||
- [👨⚖️ AI Legal Agent Team](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/ai_agent_tutorials/ai_legal_agent_team)
|
||||
- [👨💼 AI Services Agency](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/ai_agent_tutorials/ai_services_agency)
|
||||
- [🏋️♂️ AI Health & Fitness Planner Agent](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/ai_agent_tutorials/ai_health_fitness_agent)
|
||||
- [📈 AI Startup Trend Analysis Agent](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/ai_agent_tutorials/ai_startup_trend_analysis_agent)
|
||||
|
||||
@@ -1,19 +1,17 @@
|
||||
# AI Legal Agent Team
|
||||
# 👨⚖️ AI Legal Agent Team
|
||||
|
||||
An intelligent legal document analysis Agent Team powered by GPT-4 and Qdrant vector database. The system uses a team of specialized AI agents to analyze legal documents, providing comprehensive insights, key points, and recommendations. We used phi-agent to create the agent team.
|
||||
|
||||
## Demo:
|
||||
A Streamlit application that simulates a full-service legal team using multiple AI agents to analyze legal documents and provide comprehensive legal insights. Each agent represents a different legal specialist role, from research and contract analysis to strategic planning, working together to provide thorough legal analysis and recommendations.
|
||||
|
||||
## Features
|
||||
|
||||
- **Specialized Agent Team**
|
||||
- Legal Researcher: Equipped with DuckDuckGo search tool to find and cite relevant legal cases and precedents. Provides detailed research summaries with sources and references specific sections from uploaded documents.
|
||||
- **Specialized Legal AI Agent Team**
|
||||
- **Legal Researcher**: Equipped with DuckDuckGo search tool to find and cite relevant legal cases and precedents. Provides detailed research summaries with sources and references specific sections from uploaded documents.
|
||||
|
||||
- Contract Analyst: Specializes in thorough contract review, identifying key terms, obligations, and potential issues. References specific clauses from documents for detailed analysis.
|
||||
- **Contract Analyst**: Specializes in thorough contract review, identifying key terms, obligations, and potential issues. References specific clauses from documents for detailed analysis.
|
||||
|
||||
- Legal Strategist: Focuses on developing comprehensive legal strategies, providing actionable recommendations while considering both risks and opportunities.
|
||||
- **Legal Strategist**: Focuses on developing comprehensive legal strategies, providing actionable recommendations while considering both risks and opportunities.
|
||||
|
||||
- Team Lead: Coordinates analysis between team members, ensures comprehensive responses, properly sourced recommendations, and references to specific document parts. Acts as an Agent Team coordinator for all three agents.
|
||||
- **Team Lead**: Coordinates analysis between team members, ensures comprehensive responses, properly sourced recommendations, and references to specific document parts. Acts as an Agent Team coordinator for all three agents.
|
||||
|
||||
- **Document Analysis Types**
|
||||
- Contract Review - Done by Contract Analyst
|
||||
@@ -40,7 +38,7 @@ An intelligent legal document analysis Agent Team powered by GPT-4 and Qdrant ve
|
||||
|
||||
3. **Run the Application**
|
||||
```bash
|
||||
streamlit run main.py
|
||||
streamlit run legal_agent_team.py
|
||||
```
|
||||
4. **Use the Interface**
|
||||
- Enter API credentials
|
||||
@@ -52,7 +50,7 @@ An intelligent legal document analysis Agent Team powered by GPT-4 and Qdrant ve
|
||||
## Notes
|
||||
|
||||
- Supports PDF documents only
|
||||
- Uses GPT-4 for analysis
|
||||
- Uses GPT-4o for analysis
|
||||
- Uses text-embedding-3-small for embeddings
|
||||
- Requires stable internet connection
|
||||
- API usage costs apply
|
||||
|
||||
@@ -7,6 +7,7 @@ from phi.model.openai import OpenAIChat
|
||||
from phi.embedder.openai import OpenAIEmbedder
|
||||
import tempfile
|
||||
import os
|
||||
|
||||
#initializing the session state variables
|
||||
def init_session_state():
|
||||
"""Initialize session state variables"""
|
||||
@@ -30,7 +31,7 @@ def init_qdrant():
|
||||
if not st.session_state.qdrant_url:
|
||||
raise ValueError("Qdrant URL not provided")
|
||||
|
||||
return Qdrant( #from the phidata Qdrant docs
|
||||
return Qdrant(
|
||||
collection="legal_knowledge",
|
||||
url=st.session_state.qdrant_url,
|
||||
api_key=st.session_state.qdrant_api_key,
|
||||
@@ -76,7 +77,7 @@ def main():
|
||||
st.set_page_config(page_title="Legal Document Analyzer", layout="wide")
|
||||
init_session_state()
|
||||
|
||||
st.title("AI Legal Agent Team")
|
||||
st.title("AI Legal Agent Team 👨⚖️")
|
||||
|
||||
with st.sidebar:
|
||||
st.header("🔑 API Configuration")
|
||||
@@ -131,7 +132,7 @@ def main():
|
||||
legal_researcher = Agent(
|
||||
name="Legal Researcher",
|
||||
role="Legal research specialist",
|
||||
model=OpenAIChat(model="gpt-4"),
|
||||
model=OpenAIChat(model="gpt-4o"),
|
||||
tools=[DuckDuckGo()],
|
||||
knowledge=st.session_state.knowledge_base,
|
||||
search_knowledge=True,
|
||||
@@ -148,7 +149,7 @@ def main():
|
||||
contract_analyst = Agent(
|
||||
name="Contract Analyst",
|
||||
role="Contract analysis specialist",
|
||||
model=OpenAIChat(model="gpt-4"),
|
||||
model=OpenAIChat(model="gpt-4o"),
|
||||
knowledge=knowledge_base,
|
||||
search_knowledge=True,
|
||||
instructions=[
|
||||
@@ -162,7 +163,7 @@ def main():
|
||||
legal_strategist = Agent(
|
||||
name="Legal Strategist",
|
||||
role="Legal strategy specialist",
|
||||
model=OpenAIChat(model="gpt-4"),
|
||||
model=OpenAIChat(model="gpt-4o"),
|
||||
knowledge=knowledge_base,
|
||||
search_knowledge=True,
|
||||
instructions=[
|
||||
@@ -177,7 +178,7 @@ def main():
|
||||
st.session_state.legal_team = Agent(
|
||||
name="Legal Team Lead",
|
||||
role="Legal team coordinator",
|
||||
model=OpenAIChat(model="gpt-4"),
|
||||
model=OpenAIChat(model="gpt-4o"),
|
||||
team=[legal_researcher, contract_analyst, legal_strategist],
|
||||
knowledge=st.session_state.knowledge_base,
|
||||
search_knowledge=True,
|
||||
@@ -218,7 +219,17 @@ def main():
|
||||
elif not uploaded_file:
|
||||
st.info("👈 Please upload a legal document to begin analysis")
|
||||
elif st.session_state.legal_team:
|
||||
st.header("Document Analysis")
|
||||
# Create a dictionary for analysis type icons
|
||||
analysis_icons = {
|
||||
"Contract Review": "📑",
|
||||
"Legal Research": "🔍",
|
||||
"Risk Assessment": "⚠️",
|
||||
"Compliance Check": "✅",
|
||||
"Custom Query": "💭"
|
||||
}
|
||||
|
||||
# Dynamic header with icon
|
||||
st.header(f"{analysis_icons[analysis_type]} {analysis_type} Analysis")
|
||||
|
||||
analysis_configs = {
|
||||
"Contract Review": {
|
||||
@@ -249,15 +260,22 @@ def main():
|
||||
}
|
||||
|
||||
st.info(f"📋 {analysis_configs[analysis_type]['description']}")
|
||||
st.write(f"🤖 Active Agents: {', '.join(analysis_configs[analysis_type]['agents'])}") #dictionary!!
|
||||
st.write(f"🤖 Active Legal AI Agents: {', '.join(analysis_configs[analysis_type]['agents'])}") #dictionary!!
|
||||
|
||||
# Replace the existing user_query section with this:
|
||||
if analysis_type == "Custom Query":
|
||||
user_query = st.text_area(
|
||||
"Enter your specific query:",
|
||||
help="Add any specific questions or points you want to analyze"
|
||||
)
|
||||
else:
|
||||
user_query = None # Set to None for non-custom queries
|
||||
|
||||
user_query = st.text_area(
|
||||
"Enter your specific query:",
|
||||
help="Add any specific questions or points you want to analyze"
|
||||
)
|
||||
|
||||
if st.button("Analyze"):
|
||||
if user_query or analysis_type != "Custom Query":
|
||||
if analysis_type == "Custom Query" and not user_query:
|
||||
st.warning("Please enter a query")
|
||||
else:
|
||||
with st.spinner("Analyzing document..."):
|
||||
try:
|
||||
# Ensure OpenAI API key is set
|
||||
@@ -269,14 +287,19 @@ def main():
|
||||
Using the uploaded document as reference:
|
||||
|
||||
Primary Analysis Task: {analysis_configs[analysis_type]['query']}
|
||||
Additional User Query: {user_query if user_query else 'None'}
|
||||
|
||||
Focus Areas: {', '.join(analysis_configs[analysis_type]['agents'])}
|
||||
|
||||
Please search the knowledge base and provide specific references from the document.
|
||||
"""
|
||||
else:
|
||||
combined_query = user_query
|
||||
combined_query = f"""
|
||||
Using the uploaded document as reference:
|
||||
|
||||
{user_query}
|
||||
|
||||
Please search the knowledge base and provide specific references from the document.
|
||||
Focus Areas: {', '.join(analysis_configs[analysis_type]['agents'])}
|
||||
"""
|
||||
|
||||
response = st.session_state.legal_team.run(combined_query)
|
||||
|
||||
@@ -326,8 +349,6 @@ def main():
|
||||
|
||||
except Exception as e:
|
||||
st.error(f"Error during analysis: {str(e)}")
|
||||
else:
|
||||
st.warning("Please enter a query or select an analysis type")
|
||||
else:
|
||||
st.info("Please upload a legal document to begin analysis")
|
||||
|
||||
Reference in New Issue
Block a user