Custom AI Solutions for Legal Document Review and Drafting

Small law firms often rely on a combination of practice management software and legal research databases. Tools like Clio or PracticePanther are excellent for case management and billing, but their document automation is strictly template-based. They can populate a client's name and address, but they cannot read a 200-page deposition transcript and extract the key facts relevant to a motion.

For research, attorneys use Westlaw or LexisNexis. These platforms are powerful search engines for case law but are not drafting assistants. The workflow is manual: an attorney finds a relevant case, copies a block of text, pastes it into a Word document, and then rewrites it to fit the context of their specific argument. There is no integration between the firm's private case files and the public legal database.

Consider a 10-attorney litigation firm preparing a motion for summary judgment. An associate has 500 pages of discovery documents in PDF format. They will spend over 10 hours reading everything, manually highlighting key statements, and copying quotes into a separate document. This process is slow, expensive billable time and carries the risk of missing a critical connection between a witness statement in one document and an admission in another.

The structural problem is that existing legal tech tools operate in silos. The practice management software that holds case metadata cannot understand the unstructured text within discovery documents. The research platform that holds case law has no knowledge of the specific facts of your current case. This forces highly-skilled attorneys into a disjointed, manual copy-and-paste workflow that AI is perfectly suited to automate.

The engagement would begin with an audit of your existing document workflow. Syntora would analyze a representative set of your case files to understand the formats, the structure of your arguments, and the sources you rely on. This discovery phase results in a clear architectural plan for an AI drafting assistant tailored to your specific practice area.

The technical approach would use a secure document processing pipeline. Your firm's documents would be stored in a private AWS S3 bucket. A FastAPI service would manage an OCR and indexing process, storing text and vector embeddings in a Supabase database that you control. To generate a brief, an attorney provides a prompt outlining the argument. The system uses the Claude API to retrieve relevant facts from your case files and synthesize a structured first draft, complete with citations to the source pages.

The final deliverable is a private, web-based application where your team can manage matter documents and generate drafts. The system includes required human-in-the-loop review gates, ensuring an attorney always validates and refines the AI's output. All client data remains on your firm's cloud infrastructure, and you receive the complete source code and a runbook for maintenance.