Automate Litigation Support and Reclaim Billable Hours
End-to-end automation reduces document review time from hours to minutes using AI. It also standardizes client communication and matter intake, eliminating manual data entry.
Syntora offers expertise in designing and deploying process automation systems for litigation support in law firms. These systems leverage AI, like the Claude API, to classify documents, extract key information, and streamline review workflows. Syntora's engagements focus on building secure, auditable solutions on client infrastructure.
The scope of an automation system depends on your firm's current processes. A firm with digital-first document handling and clearly defined matter types presents a more straightforward build. A firm transitioning from paper records with inconsistent case management often requires more initial setup for data structuring and document digitization.
What Problem Does This Solve?
Small law firms often start by managing litigation documents with Dropbox and manual review. A paralegal spends hours reading PDFs to classify them, identify privileged information, and track key dates. This is slow and prone to error; a single missed redaction can have serious consequences. At 200 documents for a single discovery request, this can consume over 30 paralegal hours.
Enterprise e-discovery platforms like Relativity are built for massive-scale litigation and priced accordingly. Their per-gigabyte fees and high monthly minimums are not viable for a small firm's typical caseload. A 10-attorney firm does not need a tool designed to process terabytes of data, nor can they afford the $10,000+ annual subscription and specialized training it requires.
Simpler tools like Zapier can connect an email inbox to a Clio matter file, but they cannot perform the actual legal work. They cannot OCR a scanned document, understand its content, classify it as a motion or a deposition, and extract critical entities. These platforms lack the logic for legal analysis and cannot provide the auditable, high-confidence decision-making required for legal workflows.
How Would Syntora Approach This?
Syntora would approach process automation for litigation support as a multi-phase engagement, starting with a discovery phase to understand your firm's specific document types, existing workflows, and compliance requirements.
The architecture would involve designing and implementing a secure document intake pipeline within your firm's own AWS account. Incoming documents from sources like email or client uploads would be routed to AWS S3 storage. An AWS Lambda function would automatically trigger, using an OCR service to convert scanned PDFs into machine-readable text. Syntora has built similar document processing pipelines using Claude API for financial documents, and the same pattern applies to legal documents.
Once text is extracted, the Claude API would be configured to perform document classification into your firm’s predefined matter types (e.g., 'Pleading', 'Discovery Request', 'Client Correspondence'). It would also extract key information such as case numbers, party names, and deadlines, and identify patterns indicating privileged communication. All AI decisions and confidence scores would be logged to a Supabase database to establish a complete audit trail.
A web interface, potentially built on Vercel, would present paralegals with a queue of documents that the AI flagged as requiring human review based on a confidence threshold. This human-in-the-loop step is crucial for maintaining accuracy and compliance, allowing your team to focus on exceptions rather than reviewing every document.
After verification, a FastAPI service would integrate with your existing case management system to route the document and its generated summary to the correct attorney and matter file. The entire proposed system would run on your firm's infrastructure, ensuring confidential documents remain within your control and are not stored by third-party services.
A typical engagement for a system of this complexity, from discovery through deployment, usually spans 8-12 weeks. Key client deliverables would include a detailed architectural blueprint, the deployed cloud infrastructure and application code, and comprehensive documentation for ongoing operations. Your firm would be expected to provide access to relevant stakeholders for workflow analysis, sample documents, and API access for integration with existing systems.
What Are the Key Benefits?
Review 1,000 Pages in 5 Minutes
The system processes documents in seconds. A 10GB discovery request that took a paralegal 40 hours now completes in under one hour, including human review of flagged items.
Stop Paying Per-Gigabyte Fees
A one-time build cost with minimal monthly AWS hosting fees. You pay for the compute you use, not a recurring SaaS license, saving thousands compared to enterprise e-discovery tools.
You Own the Code and Audit Trail
We deliver the full Python source code in your GitHub repository. You get a complete, auditable log of every AI decision stored in your own Supabase database.
Alerts for AI Confidence Drifts
The system monitors AI model confidence. If average confidence for a document type drops below 90%, it sends a Slack alert for a manual review and potential model tuning.
Connects to Your Case Management
We build direct integrations to systems like Clio or PracticePanther. Classified documents and summaries appear in the right matter file automatically without manual filing.
What Does the Process Look Like?
Week 1: Process Mapping & Access
You provide read-access to document sources and your case management system. We map your current litigation support workflow and define the document classification schema.
Weeks 2-3: Core System Build
We build the document processing pipeline using AWS Lambda and the Claude API. You receive a link to the staging environment to see progress with sample data.
Week 4: Integration & Testing
We connect the pipeline to your live case management software and test with 100 of your firm's historical documents. You receive a validation report showing accuracy and speeds.
Post-Launch: Monitoring & Handoff
We monitor the live system for 30 days to handle edge cases. You receive a complete runbook and documentation for the system we deployed in your AWS account.
Frequently Asked Questions
- What does a custom litigation support system cost?
- Pricing depends on the scope. Key factors include the number of document sources, the number of custom matter types for classification, and the complexity of the specific case management software integration. A system for a single intake channel and 10 matter types is typically a 4-week build. Book a discovery call at cal.com/syntora/discover to discuss your specific needs.
- What happens if the AI misclassifies a document?
- The system is designed with a human-in-the-loop safeguard. Any document where the AI's classification confidence is below 95% is automatically routed to a queue for human review. This ensures a paralegal or attorney validates any ambiguous items before they are finalized, combining AI speed with human oversight. Every manual verification is logged in the audit trail.
- How is this different from buying a tool like Logikcull?
- Logikcull is a powerful e-discovery platform with a recurring, per-gigabyte SaaS fee. We build a custom system that you own, with a one-time cost and minimal hosting fees. Our solution is tailored to your firm's specific end-to-end workflow, from intake to final filing, and integrates with your existing tools. It is built for the daily operational needs of a small firm, not just massive litigation events.
- Where is our client's sensitive data stored?
- All data and documents remain on infrastructure you control. We deploy the entire system inside your firm's dedicated AWS account. Documents are stored in your S3 buckets, and processing happens in memory. At no point are privileged documents stored or logged by third-party services. The Claude API's zero-retention policy ensures your data is not used for model training.
- Can this automate other tasks besides document review?
- Yes. The core architecture (FastAPI, Claude API, Supabase) is a flexible platform. Once built, it can be extended to automate other processes like client intake form processing, automated status update emails, or appointment scheduling and reminders. The initial build for litigation support creates a foundation for automating other high-volume tasks within your firm.
- How does the system handle a sudden increase in caseload?
- The architecture is built on serverless components like AWS Lambda, which scale automatically. Whether your firm receives 10 documents or 10,000 in a single hour, the system processes them in parallel without performance issues. You only pay for the compute resources you use, so costs scale directly with your workload without requiring you to upgrade to a more expensive plan.
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