Patent Prior Art Analysis Team for Single-Cell Tech with CrewAI & Bedrock
Biotech patent litigation in single-cell sequencing requires detailed prior art auditing across genomic patent databases. Developers will orchestrate a CrewAI multi-agent team on Amazon Bedrock to analyze patent claims against genomic assay techniques and generate automated infringement risk reports with structured claims matrices.
What you are building
The core problem, expected build, and operating context for this challenge.
Orchestrate a CrewAI team using Amazon Bedrock models to analyze genomic patent claims and evaluate infringement risks.
How work is evaluated
Evaluates accuracy of claim matching, identification of infringing steps, and CrewAI task execution completion.
Challenge datasets
Public datasets, plus the private datasets you have access to.
How submissions are scored
These dimensions define what the evaluator checks and which criteria separate a passable run from a strong one.
high_risk_flag_check
Verifies that overlapping claims are correctly flagged as High risk.
This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.
clause_extraction_precision
Precision of extracted patent claim overlaps. • target: 0.88 • range: 0-1
This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.
What you should walk away with
Configure CrewAI agent roles: Patent Researcher, Claims Analyst, and Bioinformatician.
Connect CrewAI to Amazon Bedrock Claude 3.5 Sonnet foundation models.
Parse patent claim text and single-cell sequencing workflow documents.
Construct a dynamic patent claim mapping matrix highlighting infringement risks.
Reference links and supporting material
Annotated biological patent claims and associated single-cell protocol documentation.
Challenge setup
Evaluates accuracy of claim matching, identification of infringing steps, and CrewAI task execution completion.
Challenge input
JSON containing target patent claim text and protocol workflow description.
CrewAI
Enables multi-role autonomous agent teams for legal-technical analysis.
Amazon Bedrock
Provides enterprise-grade hosting for Claude models on AWS.
Evaluated output
JSON containing risk level, overlapping claim clauses, and legal analysis summary.
- Verifies that overlapping claims are correctly flagged as High risk.
- Precision of extracted patent claim overlaps. • target: 0.88 • range: 0-1
- Benchmark: Legal AI Patent Analysis Benchmark
- Clause Extraction Precision target: 0.88
- 1 public reference case
- Python execution harness
- Python sandbox (unavailable on Versalist)
Summary shows the first task, up to three tools, and up to three evidence items. Open the technical recipe to view all configured items.
View technical recipe
Configured tools
- CrewAI · Required
- crewAI · Optional
- Amazon Bedrock · Optional
Evaluation contract
- high_risk_flag_check · Weight 1
- clause_extraction_precision · Weight 1
Metrics
- clause_extraction_precision · Target 0.88
Benchmarks
- Legal AI Patent Analysis Benchmark
- security
Reference cases
- 1 public reference case
Workflow tasks
- Task 1
Input: JSON containing target patent claim text and protocol workflow description.
Output: JSON containing risk level, overlapping claim clauses, and legal analysis summary.
Execution harness: Python
Evaluation tools
- CrewAI · Multi-Agent Collaboration Engine
- Amazon Bedrock · Model Runtime Infrastructure
Recipe freeze marker
No recipe freeze time is recorded.