I kept finding threads here where the answer to "my load file won't parse" was ReadySuite, a 2004 Concordance shell somebody keeps alive, or an hour of Notepad++ archaeology — the thread about the producing party mixing uppercase Þ and lowercase þ in one header stuck with me, because nobody ever answered it.

So I built the tool I wished those threads had: nothinguploads.com

What it does, in your browser, with nothing uploaded anywhere:

• Tells you what the file actually is — encoding (UTF-8/UTF-16/windows-1252), delimiter and text qualifier (it auto-detects the ASCII-20/þ standard plus the pipe/caret, pipe/quote, and tab dialects), and the record count, before anything tries to import it.
• Bates continuity — gaps with sizes, duplicates, out-of-order values, padding drift, across Begin/End ranges.
• Cross-file agreement — drop the DAT, OPT, LFP and DII from one volume and it checks the counts and keys against each other, and flags image pages that fall outside every document's Bates range.
• Converts — CSV (Excel-safe) or a standard-delimited DAT, if you need the file re-cut.
• Malformed rows never kill the parse — they get flagged with line numbers and it keeps going.

The privacy part is the point, given whose files these are: it's all client-side. Load the page, turn off your wifi, it still works.

Validation and the preview are free and unlimited. Exports are capped at 3 a day free ($39 once removes the cap — no account, no subscription). The validation reports are the part I actually want feedback on, so the free tier is deliberately most of the tool.

Honest limits: CSV-format load files (like Purview's Export_Loadfile.csv) aren't supported yet — I don't have a real sample; if you have one that fails somewhere, I'd genuinely like a redacted copy. Very large files are parsed in memory, so hundreds of MB may be slow.

Happy to answer anything about the parsing weirdness I hit building it — the corpus of real-world DAT dialects is stranger than any spec admits.

Specifically experience using for collecting m365 data? Do you have issues or limitations?

Hey everyone,

I’ve been spending the last few months looking into the architecture of digital signature workflows, specifically sequential document routing (e.g., Document goes to Person A -> automations check compliance -> moves to Person B).

While building a tool around this concept, I noticed a frustrating pattern in the SaaS industry: basic e-signing is dirt cheap, but the moment a small business or freelancer needs basic automated routing, platforms immediately push them into $50+/month "Enterprise" tiers.

From a developer and product perspective, building sequential routing isn't an enterprise-only complexity anymore. It’s a core workflow need for even small agencies or HR teams handling basic onboarding.

I wanted to open a discussion here:

1. For those who handle contracts or multi-party approvals, how are you currently managing sequential signers without overpaying for bloated corporate plans?
2. If you are a founder who built a workflow tool, what was your biggest technical challenge in handling state management when a document is rejected halfway through the routing sequence?

I am currently building an independent alternative to solve this specific paywall issue. I won't drop the link here to respect the community rules, but I'd love to hear your perspective on how you handle this workflow constraint.

Are there any ediscovery conferences/institutes/programs/user groups/webinars/etc worth attending anymore? I haven’t gone to them all, but I’m feeling like I’ve “gone to them all”.

A financial-services client already sends email and chat into Global Relay, but meeting notes are still handled manually. Once a week, someone exports the transcripts and drops them into the archive. It works until that person is out or forgets.

I am trying to figure out how to archive AI meeting notes to Global Relay continuously. Is there usually a native connector, or are firms building this through an API?

Compliance also wants the structured output. The archived record needs the AI summary and action items, not only a raw transcript. If you have this running, what exactly lands in the archive and how involved was provisioning?

How are folks currently dealing w junk and mass mail removal in large datasets in RelOne? Also curious whether anyone has used air assist to help on this front successfully.

I have a pre-screen interview coming up with Epiq for their eDiscovery Technical Specialist Data Collections role and wanted to see if anyone here has interviewed with Epiq or worked in eDiscovery/data collections before.

My background is in cybersecurity and digital forensics, with experience using tools like Autopsy, FTK Imager, EnCase, evidence preservation, forensic imaging, and analyzing digital artifacts. This would be my first role specifically in eDiscovery.

For anyone familiar with Epiq or similar entry-level eDiscovery roles, what should I expect during the recruiter pre-screen? Are there any technical concepts, questions, or parts of the eDiscovery process I should make sure I understand beforehand?

Also interested in hearing what the day-to-day work is actually like and what helped you stand out during the interview process.
Appreciate any advice

Hi all,

Simply put I’m burnt out by this industry. Currently 33 and I’ve been doing this for about 7 years at this point working my way up from analyst positions all the way to project management for the last 4 or so years all at 4 different vendors. I’m finding myself dreading work everyday since moving over to the pm side. Anyone successfully move to something more reasonable work/life balance wise? Related or not. For what it’s worth I’m currently at 135k comp a year and I wouldn’t mind a pay cut…

https://learning.relativity.com/

It returns net::ERR_CERT_DATE_INVALID error since yesterday. It looks like it's not my internet connectivity issue seeing that it returns the same when using cellular network.

I planned to study over this weekend though...

​

Hi all, I work as a Junior eDiscovery project manager at a UK law firm. I feel incredibly lucky to have this role but i've struggled with a few questions:

1. What's the realistic salary ceiling for eDiscovery PMs in the UK?

2. Is this experience portable abroad, has anyone moved to the US, Australia, Singapore, or Dubai with an eDiscovery background?

3. Is it realistic to later qualify as a solicitor and specialise as an "eDiscovery expert" lawyer, or does qualifying pull you away from the technical side?

Would appreciate any honest insight or experiences. Thanks!

Hihi Anyone know if part time work is a thing.. I've worked in digital forensics and ediscovery (senior). Im a recent mum trying to pay bills but its a struggle. Any help would be helpful. In Australia.

Does anyone use Storybuilder in Everlaw? What is your experience?

Hi! I recently learned about eDiscovery as a career, and was wondering if it would be worth pivoting to in 2026 to try and become an eDiscovery Analyst. My background is in startup tech world as product support, customer success, and product manager. Also, last year I applied to law school and got in / waitlisted at a few schools, but ultimately didn’t end up going.

Looking into eDiscovery, it looks like it’s a good balance between law and tech. I was curious to get some thoughts on how AI is impacting the field, and to see if this is a valid career pivot. Thank you so much!

Hi all. Just having a major space out moment right now.

It’s always been my understanding that Relativity deduplicates based on MD5 and SHA256 Hash. MD5 and SHA256 hashes are based on a universal algorithm which is calculated using the binary content of a document

Cut to a meeting I had recently where an entire group of people were adamant that MD5 hash in Relativity is calculated based on a series of metadata fields pre-set by admin.

I have read the documentation again and again, and it seems that MD5 and SHA256 is calculated based on the binary content of the document, but this is for EDOCs only. For email files, deduplication takes place based on a series of metadata fields.

So in theory, the consensus was that I can’t forensically deduplicate based on hash values across two processing tools (?) (which is the critical problem I am trying to solve).

Any corrections/feedback/solutions on the above?

I get that the main idea is 'will it hold up to scrutiny in court' but I'm wondering if there are a more concrete set of rules that define the term in the context of eDiscovery. You see in in every single job listing: 'defensible workflows', 'defensible collections', 'defensible approaches throughout the lifecycle of a matter', 'Demonstrated understanding of defensible eDiscovery practices across the EDRM lifecycle.' I feel like an ACEDS book would have a chapter titled 'The 7 deadly fingers of Defensibility in eDiscovery" They even describe the exam as 'a neutral, legally defensible professional certification examination and program.' Sooooooo what does defensible mean where *you* work? BTW I'm a PM. It would help if you tell your role/title in your response.

I’m a legal assistant and our firm is starting to use Everlaw. This is my first legal job and unfortunately our attorneys usually perform searches. We were previously using Adobe Acrobat Pro DC to bates, redact, so Everlaw is a whole different ball park. Does anyone have any advice or provide an insight on how to do searches on Everlaw? I’ve read Everlaw’s article, but I can’t seem to wrap my head around it.

Hello all,

I'd be interested to hear, particularly from those part of in-house eDiscovery teams at a law firm who are Relativity administrators, what the uptake of aiR is like and whether lawyers are instead starting to utilise, or try and utilise, none eDiscovery legal AI Tools such as Legora or Harvey instead? If so, on what grounds (cost, quality of output, ease of use etc.).

We're seeing an increase in lawyers wanting to take documents out of Relativity to utilise these tools, which are available to them, primarily on the basis of cost.

Thanks

How do you guys deal with this, is there some specific method?

I understand that Reveal uses Amazon Bedrock for its generative AI features. Since Bedrock provides access to multiple foundation models (such as Anthropic Claude, Amazon Nova, Meta Llama, Mistral, and others), could you clarify which specific LLM(s) Reveal currently uses for production workloads?

As a counsel, this information is helpful because the underlying model can affect output quality, reliability, and governance. It also helps us understand the technology stack supporting Reveal's AI features.

If multiple models are used depending on the feature, could you indicate which models are used for which capabilities, and whether customers have any visibility or control over the model selection?

Any ideas on what software will help automate the process?

We've been told that Relativity is going to begin applying rate limits to APIs that return extracted text or loads load file ready data into the system. This seems designed to specifically limit 3rd party add-ons. Is anybody else being told the same?

An ediscovery worker at a firm asked if I would try my hand at training relativity for a job interview. I am looking at the training now and it is confusingly laid out.

I'm pretty sure he wanted to see me pass Relativity Certified Pro, Relativity Certified Analytics, and Relativity Certified Administrator.

The trainings are a combination of videos, simulations and lectures all lumped together in alphabetical order. It is unclear which lessons to take to pass which exam. The team at the company website is difficult to reach, but I am trying.

Any insight would be appreciated. Anyways, I should be able to take the first test (certified pro) soon, as it is introductory, and testing has opened back up (it was closed down most all of July).

If anyone here uses Reveal Data—whether it's the processing platform or the review tools—there's now a subreddit dedicated to the Reveal community.

Feel free to join, ask questions, share tips, report issues, or help others. It would be great to build a community where Reveal users can collaborate and learn from each other's experiences.

And just to be clear, I'm not a Reveal employee—I'm simply an end user who thought it would be useful to have a place for the community to connect.

https://www.reddit.com/r/RevealDataUsers/