Dynamic Training

Dynamic training. Writing styles. Context that compounds.

Upload your firm's documents and JR3 runs session-specific dynamic training, extracting patterns, building master files, and generating context that gets sharper with every document you add.

Your firm's patterns, extracted and applied automatically.

When you upload documents, JR3 initiates dynamic training, creating a master training file, extracting section-specific sub-files, and identifying style and structure patterns. Writing styles are extracted and catalogued by partner, practice group, and document type. The system auto-selects the appropriate style based on context. Your data stays in your private silo and never trains the underlying models.

Dynamic Training

Upload, extract, train, automatically

Upload your firm's documents: engagement letters, contracts, memos, briefs. JR3 initiates a dynamic training process for each session: creating a master training file, extracting section-specific sub-files through RAG preprocessing, identifying style and structure patterns, and generating relevance-based excerpts. Each file is processed through ingestion routes optimized for AI consumption, not just stored as a raw upload.

Active pattern recognition, not passive file storage.

1. Upload documents

Precedents, templates, style guides, past work product

2. Dynamic training runs

Master file created, sub-files extracted, patterns identified

3. Training datasets built

Organized by firm, attorney, applicant, or practice group

Styles

Writing styles extracted from your firm's actual documents

Datasets

Training datasets organized by firm, attorney, or practice area

Context

Context parameters assembled from files, sub-files, and excerpts

Writing Styles

Your firm's voice, captured and applied

JR3 extracts writing styles from your uploaded documents: partner tone, practice group norms, firm identity. The writing style engine maintains a style library that the system can auto-select based on document type, practice area, or specific partner preferences. Styles are applied consistently across every drafting session.

Auto-selected writing styles. Consistent firm voice. Every document.

Training dataset management

Organize training datasets by firm, applicant, attorney, or practice group. Access public repositories like USPTO data alongside your private collections. Set access permissions at the organization, group, or individual level with full usage audit trails.

Context parameters

Configure the inputs that feed every inference. Context parameters include input files, sub-files generated through RAG preprocessing, agent conversation history, training datasets, and drafting guidelines. The context file generator compiles and preprocesses these sources before they reach the model.

Context compression

Control how much context the model sees. Full mode sends everything. Smart mode filters for relevance using cursor-aware extraction, focusing on the section you're working in and compressing less relevant material. None mode sends only the prompt. Smart compression reduces token usage while preserving the context that matters most.

Cross-document consistency

Context compounds across your firm's document portfolio. Patterns recognized in one contract type inform work on others. Group-level aggregation captures preferences across practice groups. Temporal consistency tracks how your firm's approach evolves over time, ensuring the system stays current with your latest thinking.

Common questions

What is dynamic training and how is it different from fine-tuning?

Dynamic training is JR3's session-specific process that runs every time you upload documents. It creates a master training file, extracts section-specific sub-files, identifies style and structure patterns, and generates relevance-based excerpts. Unlike traditional fine-tuning that modifies the model itself, JR3's dynamic training builds an intelligence layer above the models. Your patterns are captured and applied without altering the underlying AI.

How are training datasets organized?

What are context compression modes?

How does writing style extraction work?

See dynamic training in action

Book a 15-minute demo. We'll walk through dynamic training, writing style extraction, and context compression on your firm's actual documents.