Foundation Services
Transform Raw Legal Data into LLM-Ready Intelligence
SLI transforms unstructured documents (PDFs, emails, redlines) and implicit organizational knowledge into structured foundation data that LLMs can understand.
Our Foundation Services focus on helping in-house legal teams create purpose-built foundation data that allows AI to better understand their unique preferences and the businesses they support, which generally improves accuracy and relevance.
We assess the quality of data available for your use case, structure that data into machine-readable format designed to improve LLM performance, and evaluate LLM factual accuracy and context awareness.
Foundation data is structured context about your business that lays the groundwork for LLM training, evaluation, and supervision, and is essential for both basic and advanced AI deployments.
Key Benefits
Reduced Hallucinations: Properly implemented foundation data reduces factual errors and hallucinations in AI-generated content
Context-Aware Outputs: Generate content (policy language, for example) that reflects your specific positions and risk tolerance
Measurable Improvement: Grade LLM performance out-of-the-box, or before-and-after SLI training
Flexible Structure: Build with a portable format designed to work with supported foundation models (OpenAI, Anthropic, Google), providing both immediate value and future adaptability
Unlock New Potential: Establishes the essential building blocks for specialized legal AI assistants and workflow orchestration
For contract redlining use cases, we collaborate with our sister company, Vining Legal PLLC (VL) to jointly offer a defined set of core LLM implementation services on a flat fee, fixed scope basis.
Please see here for more information, and contact us for pricing and availability.
Additional support for contract redlining or other LLM use cases is available at standard hourly rates.
Service Components
Foundation Data Assessment (FDA)
Evaluate your existing data for LLM readiness
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Assesses technical quality, richness of fact context, and LLM readiness of legal data available to support your use case
Delivers actionable recommendations for structuring your data for improved LLM performance
Ideal starting point for most legal LLM implementations
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Identifies specific data gaps and quality issues that would impact LLM performance
Quantifies your organization's readiness for LLM implementation
Maps your available data to potential use cases with high ROI potential
Creates a roadmap for progressing through our modular Foundation Data approach
Foundation Data Creation
Convert unstructured legal data into portable, machine-readable datasets
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Transforms your unstructured legal data (e.g., emails, PDFs, policies) and institutional knowledge into explicit, machine-readable formats that improve LLM understanding of your unique business context
Creates a modular data foundation with two components:
Core Foundation: Essential business context (10 data points including business description, products/services, industry, etc.)
Use-Case Extensions: Specialized data sets for specific applications like contract redlining
Delivers structured data in accessible formats (Google Sheets) with implementation guides and configuration instructions for immediate use with Legal Intelligence Assistants
Provides flexible scaling options with transparent pricing:
Start with Core ($3,500)
Add extensions as needed (starting at $3,500)
Expand with additional data points ($500 each) to enhance LLM performance
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Supports improved context awareness and reduced hallucination
Provides a foundation for ongoing LLM supervision, training, instruction, and evaluation
Creates AI-ready knowledge structures to enable AI assistants (e.g., LIAs), and orchestrated workflows
Sets a baseline for measuring LLM improvement
Add-On: LLM Context Evaluation
Measure LLM context performance
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Measures how well different LLMs actually understand your specific business context
Compares AI-generated outputs against human expert examples using quantifiable metrics
Available as standalone service ($5,000) or bundled with Foundation Data for greater savings ($6,500)
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Provides objective performance metrics for different LLMs using the same foundation data
Quantifies improvement in LLM performance before and after implementing structured data
Helps prioritize which specific data points deliver the most significant performance gains
Informs data-driven decisions about which LLM technologies best fit your specific needs
Pricing
Our Foundation Services follow a modular approach, allowing you to start with essential business context and expand based on your specific needs and use cases.
Foundation Data Assessment (FDA)
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Fixed Scope, Flat Fee: $3,500
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Data quality assessment report
LLM readiness analysis
Prioritized viable data points list
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Joint LLM Readiness Assessment with Vining Legal PLLC (learn more)
Foundation Data Creation
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Fixed Scope, Flat Fee:
Core Foundation: $3,500
Includes 10 data points (5 Essential + 5 Selectable)
Use-Case Extensions: Starting at $3,500 each (up to 10 data points)
Contract Redlining Extension (Joint offering only)
Due Diligence Extension
Research Extension
Custom Extension
Additional Data Points: $500 per additional point
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Core Foundation:
5 Essential Data Points (business description, products/services, etc.)
5 Selectable Data Points (risk tolerance, business priorities, etc.)
Implementation guide and structured data format
Use-Case Extensions: Added to Core Foundation
Additional Data Points: Added to Core Foundation
Includes Scribble and Bob LIAs at no additional cost
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Foundation + Frame with Vining Legal PLLC (learn more)
Add-On: LLM Context Evaluation
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Fixed Scope, Flat Fee: $5,000 per LLM
Bundle Option:
Foundation Data + LLM Context Evaluation: Starting at $6,500
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Data quality assessment report
LLM readiness analysis
Prioritized viable data points list
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Joint LLM Evaluation with Vining Legal PLLC (learn more)
Note:
Any work beyond the fixed scope of flat fee services is charged at our standard hourly rates.
Use case extensions are priced based on complexity
Implementation
1. Scoping & Intake
Complete FDA questionnaire
Select data sharing approach
Make payment to initiate
2. Assessment & Recommendations
SLI reviews available materials and identifies viable data points in FDA
3. Data Point Selection
Receive FDA report with recommendations
Select data points for implementation
4. Implementation
SLI structures and delivers selected data points
5. Performance Measurement
Optional LLM evaluation
Compare performance against benchmarks
Identify improvement opportunities
Maximize your investment
Our Foundation Services provide the building blocks for more advanced AI implementations:
Legal Intelligence Assistants: Build specialized assistants that apply your Foundation Data to specific tasks
Workflow Orchestration: Create human-supervised workflows where multiple assistants tackle complex tasks as part of a team.
Foundation Data includes two Legal Intelligence Assistants at no additional cost:
Scribble: Transform verbal instructions and notes into context-aware organized task summaries
Bob: Our general purpose prompt engineer that optimizes task instructions for your unique business.
Learn more about Scribble, Bob, and the other LIAs at the link below.
Ready to build a solid AI foundation?
Schedule a 30-minute discovery demo to identify your highest-impact use case.