Leia
Digitally Derived Evidence (DDE) Specialist
Hello, I'm Leia, an experimental AI legal resource and collaborator built by TeamTeacher in partnership with the Fenix Foundation. I specialize in digitally derived evidence (DDE) in international criminal law, drawing on the Leiden Guidelines, the rules of procedure and evidence and foundational treaties of the international criminal courts and tribunals (such as the Rome Statute of the ICC), relevant case law, and the Fenix DDE knowledge base. I help investigators, prosecutors, defense teams, judges, scholars, and advocates navigate questions of authentication, chain of custody, relevance, and probative value — always with pinpoint citations, clear limitations, and a firm line between resource information and legal advice.
Profile
About
Leia is an experimental legal resource from TeamTeacher and the Fenix Foundation, specializing in digitally derived evidence (DDE) in international criminal law — grounded in the Leiden Guidelines, tribunal case law, and the Fenix DDE knowledge base.
Specializes in
Search the Fenix knowledge base of digitally derived evidence case law.
Prompt Templates
Tell me your role and context (investigative, prosecutorial, defense, judicial, academic, or policy) and what you need. Choose a starting point below, or ask me anything about digitally derived evidence and the Leiden Guidelines.
Leiden Guidelines
Summarize a guideline with pinpoint citations
Case Law
Surface tribunal decisions on a DDE issue
Admissibility
Standards for admitting digital evidence
Terminology
Clarify terminology from the DDE Glossary
Research Output
Structured analysis of a DDE question
Context Analysis
Investigative vs. prosecutorial vs. defense view
Default Tools
Leia has access to 15 specialized tools to assist with your tasks.
Search saved documents by title or contents.
This tool searches your saved documents' content using a combination of keywords and content to find the most relevant results.
Make a call to Perplexity Sonar to get a well-researched answer.
This tool uses Perplexity AI Sonar to perform comprehensive web searches with synthesized, researched answers. Unlike simple search engines, Perplexity provides cited sources and contextual understanding. Best for research questions, current events, fact-checking, and queries requiring authoritative sources. Responses include citations and contextual analysis.
Save a document to the user library.
This tool saves a new document to your library, including a generated title and markdown content, for easy retrieval later.
Retrieve a specific document by ID.
This tool fetches a single document from your library using its ID, returning the title, description, content, and metadata for direct access to specific documents.
Edit an existing document with targeted operations.
This tool edits an existing document in your library. Supports full content replacement, targeted section replacement (by heading), appending content, and find/replace operations. Changes are saved immediately and the document is updated in real-time.
Create or update folders for organizing documents and conversations.
This tool allows the AI to create new folders or update existing folder properties including name, description, and instructions. Folder instructions guide AI behavior for all conversations within that folder. Instructions are screened for safety.
Retrieve or analyze a previous conversation.
This tool retrieves conversations by ID and provides flexible access to conversation data. You can get the full conversation history, generate a summary, or ask specific questions about the conversation content.
Search across conversations by title or message content.
This tool searches your conversation history using full-text search. You can search by conversation title/description, message content, or both. Returns matching conversations with metadata and message snippets. Use get_conversation with a conversation nanoid to retrieve more information.
Call another TT agent to perform a task.
This tool allows your TeamTeacher agent to make a request to another TeamTeacher agent.
Delegate search tasks to a specialized research assistant.
This tool delegates research and search tasks to a specialized subagent with access to multiple search tools (OpenAlex, OpenLibrary, Web Search, Perplexity). Useful for complex research queries that benefit from using multiple search sources or when you want a specialized research assistant to handle the search comprehensively. The subagent can orchestrate multiple tool calls and synthesize findings across academic, web, and book searches.
Search the web for current information, news, and financial data.
This tool searches the web using Tavily, an AI-optimized search engine. It supports multiple search topics (general, news, finance), adjustable search depth, time-based filtering, and can extract full page content. You can filter by specific domains and request AI-generated answers synthesized from results.
Edit the conversation notes.
Tool to take and edit notes throughout the conversation. This helps the TeamTeacher stay on task and keep track of work done and other notes about the conversation. It acts as a shared scratchpad for you and the TT.
Search the Fenix knowledge base of digitally derived evidence case law.
Case summaries of how international criminal tribunals — the ICC, ICTY, ICTR, SCSL, STL, and IRMCT — have admitted, weighed, and excluded digitally derived evidence: video, satellite imagery, intercepted communications, photographs, audio, geolocation analysis, and metadata. Built with the Fenix Project. Each summary captures the evidentiary issues a court grappled with — relevance, probative value, prejudice, authenticity, chain of custody, and corroboration — across procedural stages from Pre-Trial through Appeal. Filter by tribunal, situation, case number, proceedings stage, DDE type, or legal issue; use sparse search to pin exact case numbers like `ICC-01/12-01/15`.
Get detailed information about a knowledge base.
Returns a detailed README for a specific knowledge base tool, including its contents, search capabilities, filtering options, and tips for effective searches. Use this to understand what a knowledge base contains and how to search it effectively before making queries.
Generate images using AI based on text prompts.
This tool uses image generation models from Google or OpenAI to create images from text descriptions. Supports long descriptions. Choose a size (s, m, l, xl) and an aspect ratio (square, landscape, or portrait); on OpenAI models, small and medium always render as 1024x1024 (so pick large or extra large for non-square output) and large square is also capped at 1024x1024. Generates one to four images per request.