CEO and co-founder
Leroy Kerry is CEO and co-founder of Filed, which builds AI that reads source documents and prepares and reviews tax returns for accounting firms.
Filed released its federal 1040 tax engine as free, open source tax software under AGPL v3. Why we did it, and what a benchmark score can't tell you.
The average accounting firm runs 10 apps and loses 5 hours per person each week moving data between them. Why consolidation fails, and what works instead.
Yes, with limits. What AI handles on a 1065 today, from K-1 extraction to tie-outs, and where the preparer's judgment still runs the return.
A practical guide to automating tax workpapers with AI: which stages automate well, which still need a preparer, and what to check before you buy anything.
Filed's CEO on building AI for tax professionals: why trust matters more than accuracy, and how skeptical preparers learn to delegate to AI.
Big Four entry-level openings fell 44% in 2024 as AI took over junior work. The skill that now gets tax professionals hired: reviewing AI output.
A lunch in New York reminded me why choosing the right investors matters as much as the fundraise itself. What we looked for, and what we found.
No. In a New York Times test, AI chatbots missed refunds by $2,000+ on average. What works: purpose-built tax AI with deterministic checks and CPA review.
Filed uses AI to save clients money every day. So why did we choose to spend $100k on a human-made brand film? Here's the thinking behind the decision.
Many top-250 US firms run owned India teams as their tax operating core. The bottleneck is systems that can't handle messy documents, not talent.
Five AI tax automation tools changing CPA firms: document capture, compliance research, predictive analytics, workflow automation and client portals.
Ask five questions: complex return coverage, integration with your tax software, clear pricing and ROI, security and support, and vendor track record.
AI retains firm logic by learning from reviewer corrections and prior-year treatments, then applying your firm's rules to every new return.
At Google Cloud AI Day 2025, Filed's Stelios Gisdakis showed how agentic AI is changing tax prep, with three lessons from building AI for tax pros.
Workflow memory lets AI tax software carry context across every step of a return, so each number traces to its source and rules apply consistently.
How mid-market firms use AI to get through busy season: fewer bottlenecks, fewer errors, more capacity and staff freed for higher-value work.
AI for accountants extracts data from tax documents, routes returns, checks them against current rules and flags anomalies, while CPAs keep the judgment.
Cut tax prep costs by automating data entry and first-pass review. What AI tax prep costs, how pricing models compare, and the ROI firms can expect.
How AI is changing tax careers for Gen Z: less grunt work, more advisory work, and accounting careers built around judgment instead of data entry.
AI tax prep handles complex returns, keeps humans in charge of review and sign-off, and faces the same IRS scrutiny as any return. Common myths, tested.
Open APIs let tax software share data with portals, document storage, and accounting systems in real time, cutting re-entry, errors, and review delays.
AI tools cut tax review time by extracting data, checking rules, and flagging anomalies before review. Filed customers see 64% shorter review cycles.
Using AI on client tax data takes SOC 2-audited vendors and IRC 7216 consent. Checklist: map data, lock access, get consent, monitor, plan for breaches.
Scale tax prep without hiring: map where time goes, standardize, automate data entry and error checks, and move reviewers to exception-based review.
How AI is changing tax preparation workflows in 2025: faster prep, higher accuracy, lower risk and more capacity with secure, compliant tools.
AI extracts and checks the data; people handle judgment and sign-off. How AI and traditional tax prep compare on speed, accuracy, cost, and staffing.
An AI tax preparer reads client documents, extracts and checks the data, and drafts the return in your tax software. A tax pro still reviews and signs.
Competency-based AI maps AI tools to core CPA skills: AI handles intake and first-pass checks, while CPAs keep judgment, review, and sign-off.
Technology reduces tax prep errors by automating data entry, checking each figure against its source document, and flagging issues before review.
A CPA firm's AI policy should cover approved tools, client data security, human review of AI output, training, and audits. Here's how to build one.
AI takes data entry, document reading, anomaly checks, and first-draft tax prep off accountants' plates, leaving more time for planning and client advice.
AI tax preparation software gives US firms capacity without new hires: it reads documents, drafts returns, and flags issues for CPA review.
