Law Firms 90-day fee/work pause

AI Legal Researcher for Law Firms

Takes over routine work of: Legal Research Associate

Automate legal research at your law firm. Turn routine research requests into AI-drafted memos for attorney review.

01 Setup + retainer Fixed-price setup plus a monthly retainer
02 90 days Fee/work pause on agreed SOW metrics
03 20 min Assessment estimates the figures for your roles
The problem

Why Law Firms Are Switching to AI

These aren't edge cases. They're the daily reality that's bleeding your margins.

01

Legal Research Consumes 6-12 Hours Per Matter

Clients increasingly push back on research line items, resulting in 15-25% write-offs on research time.

02

Massive Document Review Costs in Litigation

Manual review is error-prone and scales poorly.

03

Associates Leave Behind Billable Hours

Poor time capture causes attorneys and paralegals to forget billing entries. Research time often goes unrecorded due to focus on the task. Average 15-20% of time goes unbilled.

04

Associate Shortage Drives Up Recruiting Costs

Competitive legal markets make recruiting experienced legal research associates difficult and expensive. Firms compete for limited talent, driving salaries higher and extending time-to-fill positions.

Task analysis

What AI Handles vs. What Stays Human

AI takes the repetitive load. Your team focuses on judgment calls and relationships.

Case law research and statutory analysis

AI searches millions of cases, statutes, and regulations in seconds, returning relevant precedents with citation analysis

~5-10 hours per matter (illustrative)

Brief and memorandum drafting

AI generates initial drafts of legal memoranda with proper citation format and legal reasoning

~3-5 hours per document (illustrative)

Due diligence research

AI automates corporate due diligence, searching public records, litigation history, and regulatory filings

~4-8 hours per transaction (illustrative)

Precedent identification and comparison

AI identifies relevant precedents across jurisdictions and compares outcomes for argument strategy

~2-4 hours per case (illustrative)

Legal database updates and alerts

AI monitors case law changes and sends automated alerts on relevant developments

Hands off ~1-2 hours/week (illustrative)

Contract clause research

AI searches clause libraries and identifies standard language for specific transaction types

~1-3 hours per contract (illustrative)

Deposition and discovery prep research

AI researches witness backgrounds, prior testimony, and relevant factual issues

~2-4 hours per matter (illustrative)
Workflow comparison

Before & After AI

The same process. Night-and-day difference.

Before — manual
01
Associate receives research assignment from partner
15 minutes·Assignment may lack clarity, requiring follow-up questions
02
Associate searches LexisNexis/Westlaw manually
2-4 hours·Multiple database searches, boolean logic required, limited natural language capability
03
Associate reviews and synthesizes results
2-4 hours·Manual curation of relevant vs. irrelevant cases
04
Associate drafts memorandum
2-4 hours·Drafting from scratch, formatting citations manually
05
Partner reviews and edits draft
1-2 hours·Multiple revision cycles common, back-and-forth communication
06
Final memorandum delivered to client
30 minutes·Client billing entry created, potential write-downs applied
After — handed to AI
01
Associate inputs research question into AI
5 minutes·Clear, natural language queries reduce ambiguity
02
AI returns comprehensive research in minutes
5-10 minutes·Instant results with citation analysis and relevance scoring
03
Associate reviews AI output for accuracy
30-60 minutes·Quick validation rather than starting research from scratch
04
AI generates initial draft memorandum
15-30 minutes·Formatted document with proper citations ready for review
05
Partner reviews and provides strategic input
30-60 minutes·Focus on strategy rather than basic drafting
06
Final memorandum delivered with time entry
15 minutes·Integrated billing captures research time accurately
Implementation

How We Deploy

From signed contract to live AI workforce. No long IT projects. No dragging it out.

1
Phase 1

Assessment and Integration Planning

Evaluate current research workflows, identify integration points with existing legal software (Clio, MyCase, LexisNexis), and configure AI platform to firm specifications.

2
Phase 2

Data Migration and Initial Training

Upload firm precedent library, configure research parameters, train attorneys and paralegals on AI tool usage, and establish quality control protocols.

3
Phase 3

Pilot Testing with Real Matters

Run AI-assisted research on 5-10 active matters alongside traditional methods. Compare results, measure time savings, and refine workflows based on attorney feedback.

Phase 4

Full Rollout and Optimization

Deploy firm-wide, establish best practices, create internal knowledge base, and monitor performance metrics. Adjust pricing models and client communication strategies.

FAQ

Common Questions

Real objections from Law Firms owners considering AI AI Legal Researcher.

01Is AI-generated legal research accurate enough for court filings?

Yes, AI research tools support case identification when properly supervised. Attorneys must still review all work product per ABA Model Rules 1.1 (Competence), but AI dramatically reduces the time needed for initial research while improving comprehensiveness.

02How does AI handle attorney-client privilege and confidentiality?

Leading legal AI platforms offer privilege-preserving architectures with encrypted processing and zero-retention policies. Ensure any tool you adopt complies with your state's bar rules on confidentiality and data protection. Many platforms now provide dedicated legal privilege modes.

03What about the ethical obligations for supervising AI-generated work?

Under ABA Model Rules 5.3 and 1.1, attorneys must supervise non-lawyer assistance and maintain competence. This means reviewing AI output, understanding how the tool reached its conclusions, and taking responsibility for the final work product. This is similar to supervising paralegals—doable with proper protocols.

04Will clients accept AI-conducted research on their matters?

Clients increasingly expect efficiency. Most won't object to AI-assisted research that reduces their bills. Transparency is key—many firms now disclose using 'legal technology' to improve efficiency. Clients benefit from reduced costs, and your firm benefits from improved margins.

05What happens if AI misses a critical case?

Human review catches AI errors—this is why supervision is required. To minimize risk, use AI as a research assistant, not a replacement. Cross-reference AI findings with traditional database searches for key matters. Build a library of 'must-catch' cases that are always manually verified.

Still have questions? We'll answer them directly.

Talk to an expert

Same industryOther roles we support in Law Firms

Put AI to work. Keep your people leading.

A full-time AP / bookkeeping seat costs about $68K–$74K a year in wages and benefits (our estimate from BLS 2025/2026 data). Your assessment estimates the numbers for your business. 90-day fee/work pause on agreed SOW metrics

A 20-minute call. We'll show you which seats AI can take over — and where humans stay essential.

Book the 20 minutes