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How a Top 50 U.S. Law Firm Scaled Litigation, IP, and Contract Review With AI Agents

How a Top 50 U.S. Law Firm Scaled Litigation, IP, and Contract Review With AI Agents

How a Top 50 U.S. Law Firm Scaled Litigation, IP, and Contract Review With AI Agents

A top 50 U.S. law firm partnered with StackAI to scale case review, accelerate contract analysis, and dramatically reduce the manual load on litigation and IP teams.

A top 50 U.S. law firm partnered with StackAI to scale case review, accelerate contract analysis, and dramatically reduce the manual load on litigation and IP teams.

A top 50 U.S. law firm partnered with StackAI to scale case review, accelerate contract analysis, and dramatically reduce the manual load on litigation and IP teams.

Client

Top American Law Firm

Challenge

The firm was overwhelmed by high-volume evidence review and repetitive contract work that slowed attorneys down and strained capacity.

Solution

The team deployed AI agents to automate document analysis, draft routine agreements, and compare contracts against firm standards.

Overview 

A top 50 U.S. law firm partnered with StackAI to scale case review, accelerate contract analysis, and dramatically reduce the manual load on litigation and IP teams.

Before StackAI, the firm faced familiar pressure points: commercial teams redlined NDAs and MSAs line-by-line against internal precedent; and the IP group routinely lost weeks analyzing evidence from scattered screenshots, diagrams, and notes.

The mandate was clear: accelerate attorney workflows without compromising confidentiality, precedent control, or auditability. Over a nine-week rollout, the firm deployed three production-grade AI agents across litigation, IP, and commercial contracting.

The results were immediate. Evidence review that once required days now takes minutes. Contract drafts that used to consume entire weeks start from a fully structured first draft. NDA deviations surface instantly. The impact?

  • 50% reduction in first-pass evidence review time

  • 1-2 hours saved per contract draft

  • 4× more documents processed per week across litigation

  • Contract review time reduced from ~45 minutes to under 10

  • 30–40 hours faster case-readiness cycle for complex matters

  • Significant reduction in back-and-forth between partners and associates due to clearer first-pass outputs

Data Room Analyzer: Turning Evidence Dumps Into Structured Insight

The Problem: Evidence Review at an Impossible Scale

Litigation teams routinely receive large “data rooms” containing thousands of documents (emails, scanned PDFs, images, contracts, screenshots, and more). Junior associates previously spent days extracting events, identifying potential misconduct, and assembling timelines for partner review.

This process at the firm was slow, inconsistent across teams, and vulnerable to human error, especially under tight deadlines.

The Solution: Automated, High-Fidelity Data Room Analysis

The firm built a Data Room Analyst Agent that ingests any volume of documents and performs automated text extraction, classification, and risk-flagging. The agent identifies evidence of IP infringement, unauthorized use of trademarks, copyright violations. It consolidates findings into structured bullet summaries and timelines.

Instead of rifling through 10,000 pages manually, attorneys now get a synthesized, cross-document view in minutes. Associates still validate the outputs, but the agent replaces the entire bulk-processing stage. The net effect is a faster case-readiness cycle, fewer missed details, and far better use of attorney time.

Contract Drafting Agent: High-Fidelity Drafts Generated From Templates and Raw Assets

The Problem: Drafting Routine Agreements Was Consuming Legal Bandwidth

Commercial teams were responsible for generating standardized documents: order forms, NDAs, vendor agreements, data-processing addenda, and similar routine instruments. While templates existed, attorneys still had to manually tailor them to each client or matter: inserting the correct commercial terms, adjusting clauses, and ensuring alignment with internal precedent.

This work was repetitive, time-consuming, and diverted attorneys from higher-value negotiation and strategy.

The Solution: Automated Drafting From Templates and Knowledge Base

The firm implemented a Contract & Order Form Generator Agent built directly on top of its existing clause library and approved templates. Attorneys (or support staff) provide a few structured inputs and the agent generates a complete, ready-for-review draft.

Key capabilities include:

• Automatic insertion of transaction-specific values

• Clause selection based on practice group rules

• Harmonization with internal precedent stored in a knowledge base

• Optional citations back to prior agreements for auditability

The attorney now starts from a coherent, context-aware draft rather than assembling agreements manually. Drafting time for standard order forms and routine contracts fell by 60–75%, with far fewer inconsistencies or template deviations.

Instantly Redlined Contracts

The Problem: Clause-by-Clause Review That Never Scales

Commercial teams were responsible for reviewing a high volume of NDAs, MSAs, SOWs, and vendor agreements. Attorneys manually compared incoming language to the firm’s preferred provisions on liability caps, indemnification, governing law, intellectual property, and refund terms.

The Solution: Instant Deviation Detection Against Firm Standards

In just a few weeks, the firm deployed a Contract Redliner Agent that:

• Extracts key clauses from any uploaded contract

• Compares them against the firm’s internally approved templates and clauses

• Produces a structured, side-by-side deviation report with redlines and commentary

The system highlights non-standard provisions, explains why they diverge, and flags compliance-sensitive language. For low-complexity agreements, first-pass review time now takes under 7 minutes.

Instantly Redlined Contracts

The Problem: Clause-by-Clause Review That Never Scales

Commercial teams were responsible for reviewing a high volume of NDAs, MSAs, SOWs, and vendor agreements. Attorneys manually compared incoming language to the firm’s preferred provisions on liability caps, indemnification, governing law, intellectual property, and refund terms.

The Solution: Instant Deviation Detection Against Firm Standards

In just a few weeks, the firm deployed a Contract Redliner Agent that:

• Extracts key clauses from any uploaded contract

• Compares them against the firm’s internally approved templates and clauses

• Produces a structured, side-by-side deviation report with redlines and commentary

The system highlights non-standard provisions, explains why they diverge, and flags compliance-sensitive language. For low-complexity agreements, first-pass review time now takes under 7 minutes.

Conclusion

By integrating AI agents into daily workflows, the firm eliminated hours of manual document handling, improved accuracy, and accelerated client delivery without altering its existing legal standards or risk posture. StackAI provided a governed, auditable, and controllable way to modernize the firm’s core operations, enabling attorneys to focus on higher-value analysis rather than administrative burden.

Want to see how StackAI can help your enterprise save thousands of hours per year? Get a demo here.