How to Migrate Contracts From Spreadsheets and Drives to a CLM

Migrating contracts into a CLM is the project most legal and ops teams put off for a year, then rush in six weeks under deadline pressure from a funding round or an audit. The work is not complicated. It is tedious, and the mistakes stay invisible until a renewal date or a court date exposes them. This guide (published by Adira, which sells CLM software, so we have a stake in you eventually using ours) sets out a phased migration process that works whether you are moving forty contracts or four thousand, and flags the specific ways a migration quietly breaks a contract's legal standing in India.

You need a plan for seven things: find every contract, decide what needs to move, clean and de-duplicate, extract and verify metadata, map it to the new system, migrate in phases starting with a pilot, and verify what landed before you trust it.

Step 1: Inventory every source before you touch a system

List every place a contract might live: the shared drive, individual laptops, email attachments (search "sent" and "inbox," not just legal's), the finance team's vendor folder, HR's employment files, a filing cabinet, and any prior tool nobody decommissioned. Do not start scoping or migrating until this list exists. Teams that skip inventory almost always discover a second, forgotten source, usually a departed employee's inbox, after the "final" migration is done.

For each source, note roughly how many contracts it holds, whether they are searchable text or scanned images, and who has access. This is what makes every later step realistic instead of guesswork.

Step 2: Decide scope, honestly

Migrating everything sounds thorough and is usually the wrong call. Three scopes to choose from:

All contracts. Complete, but slow, and it buries your team in low-value paperwork (an old NDA with a vendor you no longer use) during the weeks you need speed on what matters.

Active contracts only. Anything still in force, unexpired and not terminated. The right default for most teams: it gets renewal tracking working fast on everything currently creating risk.

High-value or high-risk first. A tiered approach: top vendor and customer MSAs, anything above a value threshold or with an upcoming renewal, migrated in phase one; everything else in a slower phase two, or left in the archive as scanned PDFs with basic metadata only.

Write the scope decision down and share it before migration starts. The most common failure is scope creep: someone insists an old expired contract "might matter" and the team spends a week hunting for it instead of finishing the active set.

Step 3: Clean and de-duplicate before you extract anything

Every archive has the same problem: the same MSA saved by three people under three different names, at least one not the final signed version. Sort by counterparty and contract type, open near-duplicates side by side, and keep the one with a visible signature block and every executed amendment attached.

This matters more before a CLM migration than for a plain repository, because a CLM builds renewal alerts and obligation tracking off whatever you feed it. A near-duplicate migrated by mistake means two conflicting renewal dates in the system, unnoticed until both are wrong.

Step 4: OCR and extract metadata, with a verification pass

A scanned contract that is just a photograph cannot be searched or have its dates auto-populated. Run every scan through OCR (optical character recognition) so the text becomes machine-readable, and expect it to mangle tables, signature blocks, and small print reliably. How to turn a scanned contract into searchable text covers free and paid OCR tools and where each fails.

AI-assisted extraction helps here: a model reads an OCR'd contract and pulls out counterparty, effective date, term, value, and governing law far faster than manual entry. Use it, but never trust it unverified. Build a verification pass into the workflow: a person checks every AI-extracted field against the source before it is marked complete, full verification for high-value contracts and a sample (at least one in five) for the rest. Extraction errors on dates and values are the single most common cause of a migration that looks finished but is quietly wrong. You can also mark up individual clauses for free in Weave before committing a contract's data to the new system, a useful last read before filing it away.

Step 5: Map your fields to the new system before you migrate a single contract

Every CLM has its own metadata schema: field names, required versus optional fields, dropdown lists, and how it represents multi-party relationships. Build a field-mapping document before migration: your source spreadsheet's "Value" column might need to become the new system's "Total Contract Value (INR)" field, with currency and GST status made explicit.

Pay particular attention to any field the new system treats as a trigger for automation, most often renewal-notice date and auto-renewal status. If your source data only has an expiry date and the notice period sits inside the contract text, someone must read the clause and calculate the real notice deadline before mapping it, or the CLM's alert fires on the wrong day.

Step 6: Migrate in phases, pilot first

Do not migrate everything at once. Run a pilot batch of 20 to 50 contracts, a mix of contract types and both clean and messy source documents, and complete the full cycle (extract, map, load, verify) on that batch before scaling up. A pilot surfaces mapping problems and OCR failure patterns while the blast radius of a mistake is still small.

After the pilot, migrate in waves: by department, contract type, or the scope tier from Step 2. Each wave closes with the verification step below before the next one starts. Keep the source system live and read-only until the first full wave is verified; do not delete or archive it until you have confirmed the migrated data is trustworthy.

Step 7: Verify by spot-checking against the source, not against itself

A migration "succeeding" (no errors, every record loaded) is not the same as being correct. Verification means opening a sample of migrated records beside the source document and confirming dates, values, and party names match exactly. Prioritise fields your CLM acts on: renewal-notice dates, contract value, and auto-renewal flags, since an error here does not sit quietly, it produces a wrong alert or a missed one.

A reasonable standard: verify 100% of high-value and near-term-renewal contracts, and a random sample of at least 10 to 20% of everything else, before declaring a wave complete. If the sample shows an error rate above roughly 2 to 3%, stop and investigate the extraction process rather than pushing through; a systematic error is cheaper to fix once than to correct record by record later.

What the law actually says about the record you are creating

A CLM migration is, legally, an act of converting your working record from paper and scattered files into a structured electronic one. Three points decide whether that record holds up.

Digitising a contract does not weaken its legal standing, generally. Section 4 of the Information Technology Act, 2000 gives electronic records the same status as paper wherever a law requires something to be "in writing":

"Where any law provides that information or any other matter shall be in writing or in the typewritten or printed form, then, notwithstanding anything contained in such law, such requirement shall be deemed to have been satisfied if such information or matter is (a) rendered or made available in an electronic form; and (b) accessible so as to be usable for a subsequent reference." Source: Section 4, Information Technology Act, 2000, Indian Kanoon

A properly migrated contract, stored and accessible for reference, satisfies most legal writing requirements this way. It does not apply to everything: negotiable instruments, wills, trusts, and powers of attorney sit outside the Act's ordinary scope under its First Schedule, so treat migrations touching those document types as a special case.

A migrated copy is admissible in court, but only with the right certificate. Section 63(1) of the Bharatiya Sakshya Adhiniyam, 2023 (which replaced Section 65B of the Evidence Act) allows a "computer output" to stand in for the original as evidence:

"any information contained in an electronic record which is printed on paper, stored, recorded or copied in optical or magnetic media or semiconductor memory which is produced by a computer or any communication device... shall be deemed to be also a document... and shall be admissible in any proceedings, without further proof or production of the original."

Section 63(4) makes that conditional on a certificate identifying the record, describing how it was produced, and signed by the person responsible for the system, submitted when the record is used as evidence. Source: Section 63, Bharatiya Sakshya Adhiniyam, 2023, Indian Kanoon. The Supreme Court made this a hard requirement, not a formality, in Arjun Panditrao Khotkar v. Kailash Kushanrao Gorantyal (2020) 7 SCC 1, holding the certificate mandatory for electronic evidence unless the original itself is produced, and that oral testimony cannot substitute for it. Know who in your organisation can certify how the CLM's records were created and maintained, and do not discard the original signed paper of anything you might ever need to prove in a dispute.

If your source contracts hold personal data, extracting it through an AI tool is "processing" under data law. Names, salaries, and addresses inside employment contracts or individual counterparty agreements are personal data under the Digital Personal Data Protection Act, 2023. Section 8(1) makes the data fiduciary (your organisation) responsible for compliant processing "irrespective of any agreement to the contrary," including work done by a processor on your behalf, such as an AI extraction tool or an outsourced vendor. Section 8(5) separately requires "reasonable security safeguards to prevent personal data breach." Source: Section 8, DPDP Act, 2023. Before pointing an AI tool at a folder of employment contracts, confirm what it does with the data it processes, since responsibility for a leak stays with you, not the vendor.

Red flags in a migration project

Normal	Red flag	Why it matters
Written inventory of every source, done before scoping	Migration starts from "whatever's in the main drive"	A forgotten source surfaces mid-project or after go-live
Documented scope decision (all, active, or tiered)	Scope drifts contract by contract as people object	The project never finishes; low-value work crowds out high-value work
Near-duplicates resolved before extraction, one master kept	Every version of every contract migrated "to be safe"	Conflicting dates sit in the new system with no way to tell which is real
AI-extracted fields spot-checked against the source	Extracted data trusted and loaded with no verification	Wrong dates and values look identical to correct ones until a deadline is missed
Renewal-notice date calculated from the clause	Only the expiry date carried over	The CLM's alert fires on the wrong day, or not at all
Pilot batch run and verified before scaling	Full archive migrated in one pass	A systematic error affects every record at once
Source system kept read-only until verification is done	Source deleted immediately after upload	A verification failure has no original left to check against

A clause that quietly complicates migration if it is written like this

Bad: "This Agreement may be executed in counterparts, each of which shall be deemed an original."

What is wrong: it says nothing about what happens once you convert those originals into scanned electronic records inside a CLM, or which copy governs if a scan and a paper version are later read differently (a smudged clause number, a missing page). For a document you are migrating, and will eventually treat the paper as archival, this gap matters.

Better: "This Agreement may be executed in counterparts, each of which shall be deemed an original, and all of which together shall constitute one agreement. A copy of this Agreement maintained in electronic form by either party, including in a document management or contract lifecycle management system, shall be treated as an accurate reproduction of the original for that party's internal reference and business purposes, without prejudice to either party's right to rely on the physical original where required by law or in any dispute."

What changed: the added sentence authorises treating the CLM copy as accurate for day-to-day use, while preserving the physical original's role wherever law or dispute requires it. It does not make the scan legally equivalent in every context, since Section 63's certificate requirement means it is not automatically equivalent in court.

How this connects to the rest of your CLM setup

Migration is the input; everything else in a CLM depends on it being right. How to build a contract repository covers the metadata schema to settle before migration, since retrofitting it onto already-migrated contracts is far more painful. A step-by-step CLM implementation guide covers what comes after: workflows, approval routing, and user roles on top of the data you just moved in.

US and global contrast

US teams face a lighter evidentiary bar: once basic e-signature law (the federal ESIGN Act or a state's UETA) is satisfied, a stored electronic copy is usually treated as self-sufficient, without a separate certificate at admission. India's Section 63 certificate requirement, sharpened by Arjun Panditrao Khotkar, means an Indian migration should plan from day one for who can certify a record's provenance later, not treat that as a problem for if a dispute happens.

FAQ

How long does a typical contract migration take? For a few hundred contracts with a small team, plan four to eight weeks: about a week for inventory and scoping, one to two weeks for a pilot, and the rest for phased migration and verification. Volume and how many contracts are scanned images are the biggest swing factors.

Can AI extraction alone be trusted for metadata, without a human check? No. Treat it as a first draft that speeds up data entry, not a finished result. Build a verification pass into every batch, full verification for high-value or near-term-renewal contracts and sampling for the rest, before the data drives alerts.

What happens to the paper originals after migration? Keep them, at least for anything of real value or ongoing dispute risk. Section 4 of the IT Act gives your electronic copy legal recognition for most working purposes, but Section 63's certificate requirement under the Bharatiya Sakshya Adhiniyam means the physical original still matters if authenticity is challenged in court.

How do we handle contracts that contain personal data during migration? Confirm what your OCR and AI extraction tools do with the data they process. Your organisation, as data fiduciary under Section 8 of the DPDP Act, stays responsible even when a vendor or AI tool does the processing. Restrict access to migrated records with personal data the same way you did in the source system, not more loosely.

What is the single biggest cause of a failed migration? Skipping verification. A migration that loads every record without errors can still be substantively wrong: wrong dates, wrong values, near-duplicates kept instead of the master copy. Projects go bad not from running slow, but from declaring success without checking data against the source.

This guide gets you through the mechanics of a migration and the Indian rules on what your migrated record can and cannot do on its own. It does not tell you whether a specific contract needs registration, whether your extraction vendor's data handling meets your DPDP obligations, or how a court would treat your scanned records in a dispute you cannot yet foresee. This is not legal advice. Get a qualified lawyer to review your retention and certification approach before relying on migrated records in anything contentious.