tbdb.ai — Think Big, Do Big
Legal & Professional ServicesProgram Engagement

Intelligent Document Review & Compliance

From 12-hour reviews to 45-minute turnarounds

13 weeks from kickoff to full deployment
Built for: mid-size law firms handling high contract volume under compliance pressure

Reference build. This is a solution blueprint — the architecture, phasing, and stack we’d deploy for this problem, with modeled outcomes based on comparable implementations. It is not a report on a completed client engagement. Want to see the working parts? Book a walkthrough

The Challenge

Drowning in documents, missing critical deadlines

The firm processed over 400 contracts monthly across multiple practice areas. Each contract required manual review for compliance clauses, conflict-of-interest flags, and cross-reference validation against a growing regulatory library. Senior attorneys were spending 60% of their billable time on repetitive document triage instead of high-value advisory work.

Key Pain Points

1

Average contract review time exceeded 12 hours per document

2

Compliance errors found in 8% of reviewed contracts due to fatigue

3

Senior attorneys bottlenecked on low-value document triage

4

No standardized review process across practice groups

Our Approach

A phased AI integration with zero disruption

We designed a three-phase rollout that introduced AI as a co-reviewer rather than a replacement. The system was trained on the firm's own contract library and regulatory framework, ensuring it understood their specific language, precedents, and compliance requirements.

Phase 1
2 weeks

Discovery & Data Mapping

Audited existing review workflows, mapped compliance rule sets, and identified the highest-impact automation targets across 6 practice areas.

Phase 2
6 weeks

AI Engine Build & Training

Built a vector-powered document intelligence engine trained on 2,000+ firm-specific contracts. Implemented conflict detection, clause extraction, and automated compliance scoring.

Phase 3
3 weeks

Pilot & Refinement

Deployed with a single practice group for live parallel review. Refined scoring thresholds based on attorney feedback and edge-case corrections over 200+ reviewed documents.

Phase 4
2 weeks

Full Rollout & Training

Extended to all practice areas with role-based dashboards, automated approval routing, and training sessions for every attorney and paralegal.

Technology Stack
Vector DBSupabaseOpenAIPythonLangChainNext.jsTypeScriptAWS
Projected impact

Faster reviews, fewer errors, happier attorneys

Modeled on comparable document-review deployments, this build targets improvements across every metric below within the first 90 days of full deployment — and shifts attorney time from repetitive triage back to strategic advisory work.

93%
Reduction in average review time
0.3%
Compliance error rate (down from 8%)
~15 hrs
Billable hours recoverable per attorney, per month (modeled)
4.8/5
Target attorney satisfaction score

Project Summary

Transformed a manual, error-prone document review process into an AI-assisted workflow that reduced review times by 93% and virtually eliminated compliance errors.

Facing a similar challenge? Let's talk about what AI can do for your business.