Meet Marcus, Paralegal at a 20-person litigation firm
- Supports 2-3 attorneys on 10-15 active cases
- Tasks: document review, legal research, filing preparation, client communication
- Pain points: finding relevant precedents, summarizing discovery documents, tracking case deadlines
The Before State
- Case files organized by attorney, not by case (hard to find documents)
- Spends hours manually reviewing discovery documents for relevant information
- Struggles to remember details across many simultaneous cases
Knowledge Base Setup
- Folder structure:
Cases/[Year]/[CaseNumber-ClientName]/[Pleadings|Discovery|Correspondence|Research] - File naming:
CaseNumber_DocType_Date_Description - Context documents:
- Case summary (parties, claims, key facts, strategy)
- Discovery master index (what's been received, what's outstanding)
- Legal issue memo (key questions, relevant statutes/cases)
- Deadlines and status tracker
Tool Integration Choices
- Document management system with native AI search
- Standalone AI for legal research and document summarization
- No email integration (firm policy: all client communication must be reviewed by attorney)
- Manual workflow for court filings (too sensitive for AI)
Three Core Workflows
Workflow 1: Discovery Document Review
- Receive 500-page production from opposing counsel
- Create case-specific folder, add documents with consistent naming
- Use AI to summarize each document: "Summarize this deposition transcript. Focus on: [key legal issues from case memo]"
- Review AI summaries, flag critical documents for attorney review
- Update discovery master index with findings
- Prepare privilege log using AI-assisted drafting
Workflow 2: Legal Research Task
- Attorney assigns research: "Find cases on discovery sanctions for late production"
- Use AI to generate initial search queries and identify relevant jurisdictions
- Review case summaries, identify most relevant 5-10 cases
- Have AI draft synthesis: "Compare these 5 cases on the standards for discovery sanctions"
- Review AI output, verify citations, check for missing cases
- Draft research memo with AI assistance, citing primary sources directly
- Attorney reviews and approves before filing
Workflow 3: Preparing a Routine Motion
- Attorney requests motion for extension of discovery deadline
- Locate previous similar motions in firm's document library
- Use AI to draft motion based on template and case-specific facts
- Verify all case numbers, dates, and party names
- Check court rules for formatting and page limits
- Attorney reviews, edits, approves
- E-file (manual process)
Quality Control Checklist
- Have I verified every case citation directly in legal database?
- Do the facts in the AI-generated summary match the source document?
- Is any privileged information accidentally included?
- Are all dates, deadlines, and case numbers accurate?
- Does the legal argument align with our case strategy?
- Would the attorney approve this going out under their signature?
The After State
- Saves ~8 hours per week on document review and research
- Can handle more cases simultaneously without quality drop
- Better case tracking (context documents prevent details from slipping)
- Attorneys report higher quality work product (more thorough, better organized)
- Still manually handles sensitive negotiations and court appearances
Common Mistakes for Paralegals
- Not verifying AI-generated case citations (hallucination risk)
- Using AI for privileged attorney-client communication
- Letting AI write legal conclusions (that's attorney work)
- Not maintaining case context documents (AI outputs become too generic)
- Assuming AI understands jurisdiction-specific procedural rules