Law Firms & LegalOps

Turn document review into competitive advantage

M&A due diligence, litigation discovery, and contract drafting demand precision and speed. Picard's evidence-based AI helps law firms deliver more value to clients while protecting their professional reputation.

Problem Discovery

The Billable Hour Dilemma

Law firms face pressure to reduce costs while maintaining quality. Document review is the largest controllable expense—and the biggest opportunity.

$18,000+average due diligence cost per deal

Due Diligence Bottleneck

M&A deals require reviewing thousands of contracts in compressed timelines. Associates spend 60% of their time on low-value document extraction.

70%of litigation costs are discovery-related

Discovery Cost Explosion

E-discovery in complex litigation can cost millions. Manual review is expensive and prone to inconsistency across large review teams.

12+sanctions cases for AI errors since 2023

AI Hallucination Risk

Lawyers using ChatGPT and similar tools have been sanctioned for citing non-existent cases. Generative AI without source verification is a professional liability.

Problem Diagnosis

Why Generic AI Fails in Legal

Aspect

Traditional Approach

With Picard

Citation Quality

ChatGPT says "likely on page 12" with no verification

Direct link to Section 8.2, Lines 145-152 in the PDF

Audit Trail

No record of AI queries or sources used

Complete provenance for every answer and extraction

Cross-Document Analysis

Each document reviewed in isolation

Knowledge graph connects related provisions across documents

Professional Responsibility

Lawyer must manually verify every AI output

Built-in verification—click any citation to see source

The Solution

AI That Earns Your Trust

Picard is designed for the legal standard of care. Every answer is evidence-based with citations you can verify and defend.

Matter Intelligence

Upload all deal documents and ask questions across the entire corpus. Find every indemnification clause, identify all change of control provisions, map party relationships.

Complete due diligence in 1/3 the time

Discovery Support

Search for relevant documents by concept, not just keywords. Our semantic + BM25 hybrid retrieval finds what keyword search misses.

Defensible, auditable review process

Contract Lineage

Track how amendments modify master agreements, how side letters affect main contracts, how assignments transfer obligations.

Never miss a material modification

Client Reporting

Generate issue summaries with full citations. Clients see exactly where each finding comes from.

Transparent, verifiable work product

Outcomes

Results That Move the Needle

Faster due diligence

Complete deal reviews in days, not weeks

100%

Citation accuracy

Every answer traceable to source documents

60%

Cost reduction

More efficient resource allocation

Hallucination risk

No fabricated citations, ever

Case Study: Mid-Size M&A Practice

Challenge

Review 2,400 contracts for a $500M acquisition with 3 associates in 2 weeks

Solution

Picard indexed all documents and extracted key provisions, flagging unusual terms and connecting related agreements

Results

Completed review in 8 days (vs. projected 21 days)
Identified 3 material contracts with problematic change of control clauses
Generated client memo with 47 citations, each verified against source
Saved estimated $180,000 in associate time

Common Use Cases

M&A due diligenceLitigation discoveryContract lifecycle managementRegulatory investigationsClient matter intelligenceKnowledge management

Saurabh

Founder, Picard.Law

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Book a 30-minute call with me to get a personalized demo of Picard.Law. We'll explore your specific requirements, discuss how evidence-based AI can transform your legal workflows, and answer any questions you might have.

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