AI for Legal
AI that captures billable time, accelerates document review, and streamlines intake
We build custom AI that captures billable time, accelerates document review, and streamlines intake — so attorneys can focus on practicing law.
Example buildout
Example: A 20-Attorney Law Firm
A mid-size firm with 20 attorneys, 8 paralegals, and 6 support staff. Practice areas include commercial litigation, corporate transactions, and employment law. They use Clio for practice management, NetDocuments for DMS, and Westlaw for research. Partners estimate 10-15% of billable time goes unrecorded. New associate ramp-up takes 6+ months. Document review for discovery takes thousands of hours annually.
What we could build:
An AI time capture system that monitors attorney activity — Outlook emails, calendar events, Clio matter activity, document edits in NetDocuments, phone calls — and suggests time entries with client, matter, task code, and narrative pre-filled. Attorneys review and approve a daily summary instead of reconstructing their day from memory.
A document review accelerator that ingests discovery documents, classifies them by relevance, privilege, and key issues, and surfaces the most important documents first. Attorneys review AI-highlighted passages instead of reading everything. Cuts review time by 60-70% on large matters.
A client intake and conflict check system that runs new matter requests through your entire database in seconds — checking every party, related entity, and alias. Engagement letters generate automatically from templates with matter-specific terms.
A firm knowledge base that indexes every brief, memo, contract, motion, and research file your firm has ever produced. Any attorney can search 'how did we handle non-compete enforceability in Colorado?' and get relevant internal precedents instantly — not just Westlaw results.
A client portal where clients check matter status, upload documents, view invoices, and communicate with their attorney — all logged automatically as billable or non-billable time.
The result
Billable time capture increases 12-15% ($300K-500K in recovered revenue for a 20-attorney firm). Document review costs drop 60%. New attorney productivity ramp-up shrinks from 6 months to 6 weeks. Client satisfaction scores improve because of faster response times and proactive communication.
A day for a litigation associate
Before
End of day: try to reconstruct 8 hours of work from memory. The 20-minute call with opposing counsel? Forgot to log it. The email chain about the Jones motion? Logged 0.3 but it was really 0.7. Submit 6.8 hours on a 9-hour day.
After
End of day: AI presents a timeline of the day — every email, call, document edit, and meeting — with suggested time entries and narratives. Review, adjust, approve. 8.4 accurate hours logged in 3 minutes.
Before
Discovery review: 15,000 documents dumped in a folder. Associate and 2 paralegals spend 3 weeks reading everything, tagging relevance and privilege. Cost to client: $90K+.
After
AI classifies all 15,000 documents in hours. Surfaces the 2,000 most relevant docs with privilege flags and key passage highlights. Team reviews the AI-prioritized set in 4 days. Cost to client: $25K.
Before
New client engagement: run a conflict check that requires searching 5 different databases. Takes a paralegal 2 hours. Engagement letter drafted from scratch, reviewed by partner. 3 days from intake to matter open.
After
AI runs conflict check across all databases in 30 seconds, flags potential issues with context. Engagement letter auto-generates with matter-specific terms. Matter opens in hours, not days.
Before
Junior associate needs to research a novel issue. Spends 6 hours on Westlaw. Doesn't know the firm handled a nearly identical issue 3 years ago in the Anderson matter.
After
Associate asks the firm knowledge base first. Gets the Anderson brief, the partner's strategy notes, and the outcome — in 2 minutes. Then uses Westlaw to update for recent developments. Total research time: 2 hours.
Common problems we solve
Lost Billable Hours
The average attorney under-records 10-15% of their billable time. For a 20-attorney firm, that's $300K-500K in revenue that literally disappears.
Our solution: AI monitors all activity and suggests time entries with full narratives. Attorneys approve instead of reconstruct. Recovery is immediate and measurable.
Document Review Costs
Large discovery sets cost clients six figures and burn associate hours that could go to higher-value work. It's the least efficient part of litigation.
Our solution: AI classifies, prioritizes, and highlights — cutting review time by 60-70%. Attorneys focus on the documents that matter instead of reading everything.
Institutional Knowledge Loss
When partners or senior associates leave, decades of precedents, strategies, and client knowledge walk out the door.
Our solution: AI indexes all work product into a searchable knowledge base. The firm's collective intelligence is preserved and accessible to everyone.
Slow Client Intake
Conflict checks take hours. Engagement letters take days. New clients wait while your back office processes paperwork.
Our solution: AI runs conflicts in seconds, generates engagement letters from templates, and opens matters in hours instead of days.
Example tech stack
Every solution is custom-built for your business. Here's what a typical legal build looks like under the hood.
AI & Automation
Custom LLM agents, NLP for document classification, entity extraction for conflict checks
Integrations
Clio API, NetDocuments API, Westlaw/LexisNexis, Outlook/Exchange, court filing systems
Document Intelligence
AI-powered review platform, privilege detection, key passage extraction, OCR for scanned docs
Knowledge Management
Semantic search engine, work product indexing, precedent matching
Infrastructure
SOC 2 compliant, ABA ethics compliant data handling, encrypted storage, on-premise option available
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