About Themis
We are building the world's first legal superintelligence platform -- autonomous systems for litigation research, analysis, and drafting that expand the boundaries of what is possible in legal practice.
Why Themis Exists
Modern legal work blends facts, law, and strategy. Yet the tools available to litigators have not kept pace with the complexity of the work. General-purpose AI models produce plausible text but lack the adversarial rigor, provenance tracking, and jurisdictional awareness that litigation demands.
The gap between AI-generated output and filing-ready legal work product is not a matter of polish. It is a matter of structure. A single language model cannot simultaneously extract facts with precision, research authority with rigor, reason about strategy with nuance, and draft documents with jurisdiction-specific compliance. These are distinct disciplines, each requiring specialized capabilities and quality standards.
Themis was built to close this gap -- not by making a single model smarter, but by building an integrated system of specialized capabilities that mirrors how the best litigation teams actually operate.
Platform Capabilities
Themis decomposes legal work into four specialized disciplines, each powered by purpose-built AI, all working as an integrated system.
Legal Research & Analysis
Parses case documents and extracts structured facts. Computes damages calculations, builds timelines, prepares evidentiary exhibits, and identifies gaps in the factual record. Uses code execution for verified computational output.
Doctrinal Expertise
Applies black-letter law with verifiable citations. Spots legal issues, identifies controlling and contrary authorities, and structures analysis using IRAC methodology. Employs extended thinking for complex multi-issue analysis.
Litigation Strategy
Crafts litigation strategy by synthesizing facts and law. Performs risk assessment, develops contingency plans, identifies weaknesses in both positions, and calibrates settlement ranges with strategic depth.
Document Drafting
Generates formal legal documents in modern legal prose. Supports complaints, motions, demand letters, and memoranda. Formats citations to Bluebook standards and validates jurisdictional compliance.
Integrated Coordination
Routes tasks through five legal phases (intake, issue framing, research, analysis, draft/review), manages dependencies and workflow sequencing, performs reflection and quality validation, and assembles final deliverables for attorney review.
Built for High-Stakes Work
Themis is designed for the standards that litigation demands -- not the standards that most AI systems settle for.
- Provenance tracking -- Every factual assertion is traced to its source document. Every legal conclusion is linked to the authorities and facts that support it. Every citation is verified against the research record.
- Jurisdiction awareness -- The system distinguishes between binding and persuasive authority, applies jurisdiction-specific rules, and formats documents according to local filing requirements.
- Adverse authority disclosure -- The system identifies and surfaces authorities that cut against the client's position, preventing the confirmation bias that plagues single-model approaches.
- Human review -- Every artifact is explicitly designated as a draft for attorney review. The system augments attorney capacity without displacing attorney judgment.
- No hallucinations -- When uncertain about a legal principle, the system flags it as an unresolved issue rather than generating a confident but fabricated answer.
Technology
Themis is built on a modern infrastructure stack designed for production legal workloads.
Claude API
Powered by Anthropic's Claude with extended thinking for deep reasoning on complex legal analysis.
Extended Thinking
Enables multi-step reasoning with interleaved thinking between tool calls for nuanced legal analysis.
Prompt Caching
One-hour prompt caching delivers up to 90% cost reduction and 85% latency improvement for batch workflows.
Code Execution
Sandboxed Python execution for verified damages calculations, timeline analysis, and statistical computation.
Task Graphs
DAG-based execution with topological ordering, dependency resolution, and iterative refinement.
Observability
Prometheus metrics, structured logging, cost tracking, and Grafana dashboards for production monitoring.