AI in Professional Services

Contract review in minutes: from weeks to hours with legal AI

The global firm integrated Harvey AI to analyze and compare hundreds of contract clauses in complex due diligences. What previously required weeks of manual review by senior associates is now resolved in hours, freeing time for high-value work and reducing error risk.

Harvey AI: the first major law firm to deploy generative AI at scale

Allen & Overy pioneered deploying Harvey (built on GPT-4) for its 3,500+ lawyers. The system assists in legal research, memo drafting, and case law analysis, reporting significant hours saved per matter and improved deliverable consistency.

ChatPwC: internal copilot for 75,000 professionals

PwC developed its own generative AI platform, ChatPwC, deployed to tens of thousands of employees globally. Professionals use it to synthesize audit reports, draft commercial proposals, analyze complex tax regulations, and prepare client presentations — reducing non-billable prep time.

Lilli: the AI assistant that centralizes firm knowledge

McKinsey launched Lilli, a generative AI trained on decades of internal knowledge (cases, methodologies, publications) that consultants access for research synthesis, identifying internal experts, and accelerating proposal design — saving hours at the contextualization phase of each project.

PairD: generative AI for 75,000 professionals in audit and consulting

Deloitte deployed PairD, its internal AI assistant, to automate repetitive audit tasks, draft regulatory report sections, and assist in complex financial data analysis. Deployment reported significant time savings in reporting and review phases, improving margins on fixed-price contracts.

EY.ai: unified AI platform for audit, tax, and transactions

EY invested $1.4 billion in its EY.ai platform, integrating generative AI across all services. In tax, the AI analyzes regulatory changes and their impact on the client portfolio. In transactions, it accelerates financial due diligence. The goal is to reduce delivery time on complex projects by 30–40%.

KPMG and Microsoft: AI to transform audit with real-time data

KPMG signed a $2 billion alliance with Microsoft to integrate Azure OpenAI into its audit and advisory processes. The AI reviews transaction samples, identifies accounting anomalies, and generates draft findings — moving from limited statistical sampling to near-comprehensive review.

AI in mass recruitment: 270,000 candidates per year without bias

Unilever, using the HireVue platform, replaced early interview rounds with AI video analysis for 270,000+ annual candidates. The system evaluates behavioral competencies, reduces hiring time from 4 months to 4 weeks, and increased hiring diversity by eliminating unconscious bias in initial screening.

Neuroscience games + AI to predict job success without a CV

Pymetrics developed short cognitive and emotional games that, analyzed by AI, predict which candidates will perform best in a specific role. Clients like Accenture, LinkedIn, and Unilever reduced screening time by 75% and improved 18-month retention rates of new hires.

50,000 hours saved on commercial proposals with generative AI

Accenture implemented an internal generative AI tool for creating RFPs and sales proposals. The system accesses the history of winning proposals, adapts language to the client's sector, and generates structured drafts in minutes. The team reports saving 50,000+ hours annually on proposal development.

WPP Open: creative AI platform for 114,000 people in global agencies

WPP deployed its proprietary WPP Open platform, integrating generative AI from Google, Nvidia, and others to assist in creative concept creation, campaign adaptation to multiple markets, and visual asset production. It reduces adaptation production time by 60% and enables global campaign scaling without multiplying the art team.

Marcel AI: the assistant connecting 100,000 creative professionals

Publicis developed Marcel, an AI platform acting as the organization's nervous system — connecting talent, projects, and knowledge in real time. Creatives can find the right internal specialist for each client in seconds and access the best reference cases, accelerating pitching and creative execution.

Accelerated legal due diligence: review of thousands of documents in hours

Latham & Watkins deployed Kira Systems AI for document review in M&A and financing processes. The system identifies change-of-control clauses, assignment restrictions, and regulatory risks in thousands of contracts simultaneously — reducing to under a day work that previously required a team of associates for weeks.

Talent screening automation: –70% time in mass selection

BBVA implemented AI tools in its selection process for mass retail banking positions. The system automatically screens incoming applications, scores cultural and technical fit, and schedules interviews with finalists. Average time from offer publication to first candidate contact dropped from 3 weeks to 4 days.

AI in BPO: virtual agents handling 40% of interactions

Teleperformance, the global leader in outsourced customer management, deployed conversational AI to autonomously handle 40% of lower-complexity client interactions. The rest is AI-assisted in real time, suggesting responses and summarizing customer history. Result: 25% reduction in average handle time (AHT) without loss of satisfaction.

Generative AI for BPO agents: +30% first contact resolution

Concentrix integrated generative AI into its agent platform so the system proposes in real time the best response, summarizes customer history, and detects call sentiment. First contact resolution (FCR) improved 30% and customer satisfaction (CSAT) rose 12 points in pilot programs.

Research copilot: market synthesis in minutes for consulting teams

Oliver Wyman deployed an internal AI assistant capable of synthesizing market reports, analyzing sector data, and generating structured working hypotheses from client briefings. Project teams use the system to compress the initial research phase from 3–5 days to under one working day, dedicating more time to differential strategic analysis.

Standard contract automation: 80% of NDAs without associate involvement

Hogan Lovells implemented an AI-based automation system for low-complexity legal documents. 80% of NDAs, standard service agreements, and engagement letters are now automatically generated and personalized from structured forms — freeing junior associates for higher-value tasks and improving margins on these matters.

AI matching platform: ideal candidates in 24 hours for any role

Randstad, one of the world's largest HR firms, developed an AI matching engine that crosses candidate profiles with job requirements across multiple dimensions. Average time to present a qualified shortlist dropped from 5–7 days to under 24 hours, improving competitiveness in high-demand segments.

BCG X and generative AI: +40% speed in strategic project delivery

BCG integrated generative AI tools (including OpenAI and proprietary models) into its work methodology. An internal study revealed consultants using AI completed complex analysis and writing tasks 40% faster and with higher peer-evaluated quality. BCG has made AI training a priority for its entire global workforce.

90% case deflection achieved during peak tax season

This accounting firm deployed generative AI agents to handle the massive volume of client queries during tax season. The automated solution deflected 90% of support tickets, providing accurate answers and freeing human accountants to focus on complex returns and financial cases during their busiest period.

80% time savings in drafting corporate reports

The international firm assessed the impact of generative AI on its lawyers' work, applying it to document drafting and analysis. Results showed 80% time savings in corporate file drafting and 59% in sector reports, saving an average of two hours per participant while maintaining quality equal to or better than a human's first draft.

11 hours recovered per lawyer per week using Lexis+AI

This legal firm implemented generative tools to automate research tasks and document drafting such as client advice and internal emails. The platform integration anticipates 11 weekly hours saved per lawyer, compressing case law review and summarization from months to near-instant completion.

90% accuracy predicting tax outcomes and scenarios

KPMG formed an alliance to implement a generative AI-based tool (Ask Blue J) fine-tuned specifically for tax queries. The solution predicts scenarios with 90% accuracy and drastically reduces the time experts spent analyzing case law and legislation, freeing them for strategic client advisory.

98% accuracy in bulk contract search and processing

The firm implemented AI to optimize its legal document search and analysis. They achieved 98% accuracy processing large volumes of contracts, drastically reducing human intervention and manual effort in routine tasks.

Client note summarization reduced from 2–4 hours to under 30 minutes

The legal firm incorporated generative AI tools for core support and documentation tasks. Using the technology to summarize client testimony and intake notes (with appropriate consent), the team reduced processes that took up to four hours to under half an hour, significantly accelerating workflow efficiency.

eDiscovery accelerated from months to hours with 90%+ accuracy

This legal tech startup integrated Gemini on Vertex AI to analyze millions of documents in eDiscovery proceedings. The system compressed a process that historically took months to just a few hours, raising accuracy above 90% and allowing lawyers to focus on building legal arguments instead of reading boxes of documents.

90% time saved processing accident reports, saving $41K

Using autonomous agents, a US law firm automated the retrieval and reading of accident reports. This implementation resulted in a 90% reduction in review time, streamlining initial case assessment and generating direct savings of over $41,000 annually in basic operating costs alone.

Complex contracts summarized in 1 hour instead of days or weeks

This legal firm implemented AI extraction models and robotic automation to enhance due diligence processing. The system enabled creation of summary tables of key clauses from multiple large commercial contracts, compressing a task that took weeks to just one hour and improving value delivered to the end client.

1.5 hours per consultant per week recovered, improving billing

This consulting and legal firm piloted an AI-assisted time capture system (Intapp Time) to automate professional hour logging. 70% of users reported the system found billable time they would have forgotten to record, recovering an average of 1.5 hours per week per consultant and accelerating client billing cycles.

Business requirements drafted in 45 minutes instead of 25 days

The consultancy developed a multi-agent tool to modernize payment processes at tier-one banks. Generative AI achieved a 68% reduction in manual work, cutting requirements document creation time from 25 days to just 45 minutes — a 99.5% time saving — revolutionizing business analyst projects.

20% faster risk detection and 15% fewer discrepancies

A technology consultancy implemented generative AI algorithms to monitor transactions in real time for its financial clients. The project improved fraud detection speed by 20% and achieved a 15% reduction in report discrepancies, enabling compliance teams to respond proactively.

60% adoption in two weeks to automate analytical tasks

The strategic consulting firm deployed ChatGPT Enterprise, and within two weeks 60% of its consultants had adopted it. Teams created over 2,000 custom tools ('MyGPTs') to generate Python code, analyze data, and automate spreadsheets — reducing analytical work from days to minutes and freeing time to focus on client strategy.

39% increase in development productivity deploying HR bots

This consulting and professional services firm launched secure internal AI tools, including 'Nexus Chat' (adopted by 84% of eligible employees) and the HR bot Unifai. These integrations delivered a 39% increase in productivity across the software development lifecycle for its clients.

60 minutes saved per meeting and 50% lower data management costs

In its financial advisory and wealth management services, the organization deployed AI agents to assist financial advisors. The system achieved an impressive 95% voluntary adoption rate, saving 60 minutes per advisor per meeting by automatically documenting and extracting data, cutting information administration costs in half.

40,000+ hours saved and 65% cost reduction in software validation

A banking institution client of a consultancy implemented agentic software testing. AI agents autonomously validated thousands of daily financial transactions, resulting in a 60–65% reduction in manual testing effort, saving over 40,000 hours per year and elevating regulatory compliance.

54% reduction in operating costs managing 114 million requests

This technology consultancy implemented a model on Google Cloud to power SIREC, its debt collection platform. The AI system manages over 114 million monthly requests, improving recovery rates by 30–40% and payment conversions by 45%, while cutting operating costs by more than half.

85% cost savings and 5x efficiency in due diligence

Major investment funds automated their due diligence questionnaire (DDQ) operations and analysis using AI. They achieved an 85% reduction in operating costs and a 5x increase in audit process efficiency, also reducing manager response times by 75% and increasing client transparency.

500% increase in processing capacity, down from 7 minutes to 1

The staffing giant dramatically improved its candidate validation process by incorporating process automation. Average handling time per candidate dropped from 5–7 minutes to just one minute. This optimization allowed them to quintuple their processing capacity and save the team 200 hours of manual work per month.

40% reduction in manual work on background checks in 8 weeks

A B2B company specializing in candidate background checks automated reference collection and employment data cross-referencing. By removing the task of scheduling interviews and contacting former employers from staff, the firm cut its manual work by 40% in just two months, focusing exclusively on critical interactions.

Response times reduced to 0.5 seconds with 97% data accuracy

This background screening company implemented a fine-tuned language model (SLM) to process applicant data. By moving away from generic solutions, they increased accuracy to 97% on standard data and 85% on complex cases, dropping response time from 15 to 0.5 seconds, and cutting cloud operating costs from $12,000 to just $800 per month.

Email classification and processing time reduced from hours to minutes

The B2B commercial payments and financial support firm integrated cloud AI to transform its service operations. They fully automated complex email classification — a process requiring heavy manual effort now resolved in minutes — allowing the BPO support team to focus on actual case resolution.

10x ROI and $6 saved per resolved call

The support agency deployed a generative agent for a Fortune 100 Fintech client's interactions. The AI now handles over 90 million calls per year, resolving queries 25% faster and generating direct savings of $3–$6 per ticket, drastically reducing the need for external contact agents.

$26M reduction in onboarding costs and –198% agent turnover

The firm implemented an AI-powered workforce engagement management (WEM) platform with voice and text analytics for government contact centers. In just six weeks, the system delivered a 27% improvement in quality scores, drastically reduced staff burnout, and saved $26 million in training expenses.

Sales agent replication compressed a team of 10 to 1 person

To optimize support for its commercial operations, the company trained AI agents over six weeks by observing workflows of its best sales advisors. They compressed the capacity of a 10-person business development team into a single person assisted by a highly productive bot.

67% reduction in supplier onboarding cycle time

Using autonomous automation agents in its purchasing operations, the company validated compliance and qualifications of new contractors at scale. The supplier onboarding process was compressed from 60 days to just 20 days, resolving one of the biggest back-office bottlenecks.

15,000 monthly work hours saved validating records at 99.5% accuracy

This massive medical BPO, processing 250 million transactions, deployed AI to extract data from medical records. Automated agents saved 15,000 monthly hours, reduced documentation time by 40%, and increased speed 50% with near-zero error margins — delivering a net 30% annual ROI for corporate clients.

Procurement and sourcing cycle cut by 50% with 99% compliance

With Genpact as its technology BPO partner, Dropbox orchestrated its entire purchasing operation using AI connected to ServiceNow. Automating over 1,000 risk assessments and cross-ERP processes cut the B2B purchasing cycle in half, radically improving financial visibility.

Resolution time from 3 days to minutes, saving $1.09M

A global Genpact client was receiving over 11,000 complex monthly helpdesk queries. By integrating a generative AI assistant that extracts details and drafts response policies connected to RPA, the 3-day wait time disappeared, freeing up 8 full-time employee workloads and delivering significant savings.

Radical acceleration of BPO agent training and validation processes

This global outsourcing company is using models like NotebookLM to dramatically simplify research and tendering processes. They have also embedded Gemini directly into operations to accelerate training of phone agents and help them find creative real-time answers without requiring management escalations.