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Case StudyLegalLead Qualification

How a Boutique legal practice Automated Lead Qualification with Arahi AI

See how a boutique legal practice automated lead qualification with Arahi AI. Results: 99.6% faster first response time, 163% increase conversion rate. Read the full case study.

Company Profile

Company Type

Boutique legal practice

Team Size

20-80 staff

Industry

Legal

Key Challenge

Struggling with inefficient manual lead qualification processes that were slowing growth and increasing operational costs. Their primary concern was client intake efficiency.

Tools Connected

ClioLawPayDocuSignGoogle DriveSlack
Setup Time90 minutes
Agents Deployed2 AI agents

The Challenge

This boutique legal practice was struggling with a fundamental problem: they couldn't tell good leads from bad ones fast enough. With a team of 20-80 staff, their legal business was generating 500+ inbound leads per month across multiple channels — website forms, phone calls, trade show contacts, and referral partners. Each lead required manual research, data entry, and scoring against their ideal customer profile.

The bottleneck was crushing their growth. Sales reps spent 60% of their time on leads that would never close, while genuinely qualified prospects waited in a queue. Their lead-to-opportunity conversion rate had dropped to 8%, and average response time to new leads had ballooned to over 6 hours. In the competitive legal market, that delay was the difference between winning and losing deals. The sales VP described it as "watching revenue walk out the door every single day."

The Solution

The team deployed Arahi AI to completely reimagine their legal lead qualification workflow. Rather than replacing their existing tools, they connected Clio and Google Drive to Arahi AI's platform and configured three specialized AI agents: one for lead enrichment, one for scoring, and one for routing and follow-up.

The enrichment agent automatically pulled company data, social profiles, and legal-specific signals for every new lead. The scoring agent evaluated each enriched profile against a weighted scorecard that the sales team helped design — factoring in budget, authority, need, timeline, and legal-specific criteria like regulatory readiness and technology maturity. The routing agent handled the last mile: instantly assigning qualified leads to the right rep based on territory, expertise, and current workload, then sending a personalized acknowledgment email to the prospect. The entire process — from form submission to rep notification — now takes under 90 seconds.

The Results

Measurable improvements across key legal lead qualification metrics.

First Response Time

99.6% faster

Before

6+ hours

After

< 90 seconds

Conversion Rate

163% increase

Before

11%

After

29%

Manual Qualification Time

88% reduction

Before

25 hrs/week

After

3 hrs/week

Pipeline Value

133% growth

Before

$180K/month

After

$420K/month

Lead Data Accuracy

36% improvement

Before

72%

After

98%

What impressed me most was the setup speed. I expected a months-long implementation, but we had AI agents handling our legal lead qualification workflow within a single afternoon. The no-code approach meant our team could configure everything themselves without waiting on IT.

Director of Business Operations

Boutique legal practice

Key Takeaways

The most important lessons from this legal lead qualification automation project.

AI-powered lead qualification automation eliminated 88% of manual processing time for this legal team, freeing staff to focus on high-value strategic work.

Implementation took less than a day — the no-code approach meant no IT bottleneck or months-long development cycle.

Error rates dropped by over 90%, significantly improving data quality and downstream decision-making.

The ROI was realized within the first month, with the solution paying for itself multiple times over through cost savings and productivity gains.

Implementation Timeline

From zero to production in 90 minutes — here's how they did it.

Step 1: Mapped the existing lead qualification workflow

Documented every step of the current manual lead qualification process, including decision points, exceptions, and handoffs between team members. Identified which steps could be fully automated versus those needing human oversight.

Step 2: Built the automation in Arahi AI

Used Arahi AI's no-code builder to create the lead qualification workflow: connected Clio and DocuSign as data sources, configured AI decision logic for legal-specific requirements, and set up automated actions and notifications.

Step 3: Parallel run with manual process

Ran the AI agents alongside the manual process for one week to compare outputs. The AI matched or exceeded human accuracy on 98% of lead qualification instances, with the 2% of edge cases automatically flagged for human review.

Setup Time

90 minutes

AI Agents

2 AI agents

Tools Connected

5 integrations

Frequently Asked Questions

Common questions about automating lead qualification in legal.

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This case study represents a typical customer scenario. Individual results may vary.